<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 3+ years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: 3+ years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years)

 - Cycle to Work Scheme

 - Tech Scheme


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Machine Learning Engineer

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Principal Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions. </li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 5+ years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday:  25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Principal Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.
   


WHAT YOU’LL BRING

 - Experience: 5+ years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday:  25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Principal Machine Learning Engineer

<h2>Shape the Future of AI &amp; Data with Us</h2>At Datatonic, we are Google Cloud's premier partner in cloud &amp; AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As Senior Data &amp; AI Architect you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre &amp; post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is client facing, working closely with business and technical influencers, and will require a technical background but the ability to turn the technical, into something digestible for clients.Successful candidates will bring multiple years’ experience with cloud platforms, preferably with Google Cloud. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.</li><li>Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.</li><li>Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.</li><li>Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.</li><li>Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.</li><li>Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.</li><li>Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.</li><li>Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.</li><li>Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.</li><li>Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.</li><li>Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.</li><li>Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.</li><li>End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.</li><li>Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.</li><li>Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.</li><li>Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.</li><li>Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.</li><li>Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.</li><li>Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.</li><li>Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.</li><li>Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Certifications: Google Cloud or AWS Certified Solutions Architect certification.</li><li>ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.</li><li>Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.</li><li>Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.</li><li>Agile Methodologies: Familiarity with Agile frameworks, including Scrum.</li><li>Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.</li><li>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 30 days plus bank holidays (obviously!)</li><li>Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)</li><li>Fitness &amp; Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)</li><li>Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: Private Salary Sacrifice Pension available</li></ul><h2>Why Datatonic?</h2>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in cloud & AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As Senior Data & AI Architect you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.

This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is client facing, working closely with business and technical influencers, and will require a technical background but the ability to turn the technical, into something digestible for clients.

Successful candidates will bring multiple years’ experience with cloud platforms, preferably with Google Cloud. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.


WHAT YOU’LL DO

 - Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.

 - Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.

 - Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.

 - Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.

 - Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.

 - Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.

 - Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.

 - Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.

 - Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.

 - Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.

 - Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.

 - Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.


WHAT YOU’LL BRING

 - Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.

 - End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.

 - Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.

 - Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.

 - Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.

 - Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.

 - Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.

 - Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.

 - Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.

 - Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.

Bonus Points If You Have:

 - Certifications: Google Cloud or AWS Certified Solutions Architect certification.

 - ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.

 - Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.

 - Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.

 - Agile Methodologies: Familiarity with Agile frameworks, including Scrum.

 - Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.

 - Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 30 days plus bank holidays (obviously!)

 - Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)

 - Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)

 - Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: Private Salary Sacrifice Pension available


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Data & AI Architect

Shape the Future of AI &amp; Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.Your MissionAs a Senior Full-Stack Engineer, AI Applications, you'll be instrumental in building innovative, end-to-end AI-powered solutions. You'll take pride in crafting beautiful, production-ready code across both front-end and back-end systems, ensuring seamless user experiences and robust functionality. You'll be an advocate for high-quality engineering and best practices in all stages of software development, from rapid prototypes to scalable production deployments.While this is a hands-on technical role, we're particularly interested in candidates with a desire to lead projects and actively engage in client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to integrate machine learning into user-facing applications, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong full-stack development fundamentals combined with an understanding of Generative AI concepts. You'll know the right tools and approaches for building responsive UIs, robust APIs, and well-tested scalable applications. Furthermore, you'll need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.What You’ll Do<ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague business requirements and design, develop, and deploy full-stack applications that leverage AI to solve real-world problems.</li><li>AI Application Development: Build and maintain scalable, secure web applications, including user interfaces (UI) and application programming interfaces (API), that integrate and expose AI capabilities.</li><li>Performance Optimisation: Optimise full-stack solutions for performance, scalability, and responsiveness across both front-end and back-end systems.</li><li>AI Application Lifecycle: Automate the deployment, monitoring, and maintenance of AI-powered applications, focusing on reliability, testing, and continuous delivery.</li><li>AI Application Solution Architecture: Create comprehensive architecture designs for AI applications, utilising Google Cloud tools and services for both application and AI components.</li><li>Engineering Software for Production: Build and deploy production-grade, secure, and maintainable software for AI and data-driven solutions.</li></ul>What You’ll Bring<ul style="min-height:1.5em"><li>Experience: 3+ years as a Full-Stack Engineer, including some experience in AI application development.</li><li>Programming Skills: Proficiency in Python (for backend services, APIs, and ML integration) and JavaScript/TypeScript (for front-end development). Capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Front-End Expertise: Strong hands-on experience with modern front-end frameworks (e.g., React, Angular, Vue.js) and building responsive user interfaces.</li><li>Back-End Expertise: Experience designing and implementing RESTful APIs, microservices, and integrating with databases.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure, including deploying and managing applications.</li><li>Software Engineering: Good knowledge of foundational software engineering practices, including design patterns, testing, and version control.</li><li>Database Proficiency: Strong experience integrating applications with SQL and NoSQL databases</li><li>Scalability: Experience scaling applications using cloud-native services</li><li>Security &amp; Authentication: Demonstrable understanding and practical experience with common web security vulnerabilities, secure coding practices, and various authentication and authorisation protocols</li><li>UI/UX Principles: Understanding of user interface (UI) and user experience (UX) design principles to create intuitive and engaging AI applications.</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts and collaborate with clients.</li><li>Collaboration &amp; Mentorship: Work closely with Data Scientists, ML Engineers, Architects, and product managers, and mentor junior team members.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google Cloud Professional Cloud Developer, etc.).</li><li>Hands-on experience in Machine Learning or Generative AI.</li></ul> What’s in It for You?We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years)</li><li>Cycle to Work Scheme</li><li>Tech Scheme</li></ul><h2>Why Datatonic?</h2>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Your Mission

As a Senior Full-Stack Engineer, AI Applications, you'll be instrumental in building innovative, end-to-end AI-powered solutions. You'll take pride in crafting beautiful, production-ready code across both front-end and back-end systems, ensuring seamless user experiences and robust functionality. You'll be an advocate for high-quality engineering and best practices in all stages of software development, from rapid prototypes to scalable production deployments.

While this is a hands-on technical role, we're particularly interested in candidates with a desire to lead projects and actively engage in client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to integrate machine learning into user-facing applications, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong full-stack development fundamentals combined with an understanding of Generative AI concepts. You'll know the right tools and approaches for building responsive UIs, robust APIs, and well-tested scalable applications. Furthermore, you'll need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.

What You’ll Do

 - Translating Requirements: Interpret vague business requirements and design, develop, and deploy full-stack applications that leverage AI to solve real-world problems.

 - AI Application Development: Build and maintain scalable, secure web applications, including user interfaces (UI) and application programming interfaces (API), that integrate and expose AI capabilities.

 - Performance Optimisation: Optimise full-stack solutions for performance, scalability, and responsiveness across both front-end and back-end systems.

 - AI Application Lifecycle: Automate the deployment, monitoring, and maintenance of AI-powered applications, focusing on reliability, testing, and continuous delivery.

 - AI Application Solution Architecture: Create comprehensive architecture designs for AI applications, utilising Google Cloud tools and services for both application and AI components.

 - Engineering Software for Production: Build and deploy production-grade, secure, and maintainable software for AI and data-driven solutions.

What You’ll Bring

 - Experience: 3+ years as a Full-Stack Engineer, including some experience in AI application development.

 - Programming Skills: Proficiency in Python (for backend services, APIs, and ML integration) and JavaScript/TypeScript (for front-end development). Capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Front-End Expertise: Strong hands-on experience with modern front-end frameworks (e.g., React, Angular, Vue.js) and building responsive user interfaces.

 - Back-End Expertise: Experience designing and implementing RESTful APIs, microservices, and integrating with databases.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure, including deploying and managing applications.

 - Software Engineering: Good knowledge of foundational software engineering practices, including design patterns, testing, and version control.

 - Database Proficiency: Strong experience integrating applications with SQL and NoSQL databases

 - Scalability: Experience scaling applications using cloud-native services

 - Security & Authentication: Demonstrable understanding and practical experience with common web security vulnerabilities, secure coding practices, and various authentication and authorisation protocols

 - UI/UX Principles: Understanding of user interface (UI) and user experience (UX) design principles to create intuitive and engaging AI applications.

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts and collaborate with clients.

 - Collaboration & Mentorship: Work closely with Data Scientists, ML Engineers, Architects, and product managers, and mentor junior team members.

Bonus Points If You Have:

 - Scale-up experience.

 - Cloud certifications (Google Cloud Professional Cloud Developer, etc.).

 - Hands-on experience in Machine Learning or Generative AI.




What’s in It for You?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years)

 - Cycle to Work Scheme

 - Tech Scheme


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Full-Stack Engineer 

<h2>Shape the Future of AI &amp; Data with Us</h2>At Datatonic, we are Google Cloud's premier partner in cloud &amp; AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As Senior Data &amp; AI Architect you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre &amp; post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is client facing, working closely with business and technical influencers, and will require a technical background but the ability to turn the technical, into something digestible for clients.Successful candidates will bring multiple years’ experience with cloud platforms, preferably with Google Cloud. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.</li><li>Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.</li><li>Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.</li><li>Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.</li><li>Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.</li><li>Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.</li><li>Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.</li><li>Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.</li><li>Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.</li><li>Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.</li><li>Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.</li><li>Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.</li><li>End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.</li><li>Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.</li><li>Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.</li><li>Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.</li><li>Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.</li><li>Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.</li><li>Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.</li><li>Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.</li><li>Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Certifications: Google Cloud or AWS Certified Solutions Architect certification.</li><li>ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.</li><li>Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.</li><li>Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.</li><li>Agile Methodologies: Familiarity with Agile frameworks, including Scrum.</li><li>Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.</li><li>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h2>Why Datatonic?</h2>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in cloud & AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As Senior Data & AI Architect you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.

This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is client facing, working closely with business and technical influencers, and will require a technical background but the ability to turn the technical, into something digestible for clients.

Successful candidates will bring multiple years’ experience with cloud platforms, preferably with Google Cloud. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.


WHAT YOU’LL DO

 - Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.

 - Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.

 - Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.

 - Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.

 - Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.

 - Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.

 - Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.

 - Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.

 - Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.

 - Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.

 - Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.

 - Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.


WHAT YOU’LL BRING

 - Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.

 - End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.

 - Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.

 - Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.

 - Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.

 - Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.

 - Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.

 - Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.

 - Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.

 - Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.

Bonus Points If You Have:

 - Certifications: Google Cloud or AWS Certified Solutions Architect certification.

 - ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.

 - Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.

 - Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.

 - Agile Methodologies: Familiarity with Agile frameworks, including Scrum.

 - Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.

 - Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>We are looking for an IT Systems Engineer to join our global team. You’ll report directly to our Head of IT and Security (based in Canada) and work closely with our IT Support Engineers in London and Zagreb.We’re seeking someone who’s passionate about building reliable, scalable IT systems and implementing Infrastructure as Code (IaC) best practices, while also being comfortable handling day-to-day IT support when needed.In this role, you’ll help design, implement, and manage our modern IT environment. You’ll automate processes, maintain our cloud tools and services, and support our team to ensure seamless, secure operations as we continue to grow.If you enjoy working in cloud-first environments, love solving technical challenges through automation, and thrive in a collaborative, fast-paced setting—we’d love to hear from you.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Infrastructure as Code (IaC): Design, implement, and maintain infrastructure and configurations using tools like Terraform or Pulumi.</li><li>Systems Management: Manage and optimize IT systems, including Google Workspace, Okta, Cloudflare, Kandji, SentinelOne, and macOS environments, as well as SaaS applications like Jira and Notion.</li><li>Automation &amp; Efficiency: Identify opportunities to automate IT processes, improve workflows, and enhance security posture.</li><li>Support &amp; Troubleshooting: Provide timely resolution for IT support requests, ensuring minimal disruption for colleagues.</li><li>Security &amp; Compliance: Help enforce security best practices and support compliance initiatives such as ISO 27001.</li><li>Documentation &amp; Training: Create and maintain clear documentation for systems, processes, and troubleshooting. Assist with user training to empower colleagues to solve basic technical issues independently. </li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Bachelor’s degree in IT, Computer Science, or a related field—or equivalent practical experience.</li><li>Proven experience in a similar IT role with emphasis on system administration and infrastructure management.</li><li>Hands-on experience administering Okta and Google Workspace.</li><li>Prior experience implementing and managing Zero Trust Network Access (ZTNA) and Secure Access Service Edge (SASE) solutions, ideally using Cloudflare.</li><li>Practical experience with Infrastructure as Code tools such as Terraform, Ansible or Pulumi.</li><li>Working knowledge of Python and bash scripting for automation and systems tasks.</li><li>Excellent communication skills, with the ability to explain technical topics to both technical and non-technical audiences.</li></ul><h3>Bonus points if you have</h3><ul style="min-height:1.5em"><li>Apple Certification such as Apple Certified Support Professional (ACSP) and or Apple Certified Mac Technician (ACMT)</li><li>ITIL, CSAM, CISA, and/or CISSP certifications</li><li>Strong knowledge of ISO 27001</li><li>Prior experience administering and supporting Apple MacOS in a MDM environment</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan after 3 months</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid!</li><li>Home office budget - We are 100% remote!<ul style="min-height:1.5em"><li>CAD $70/month for internet/phone expenses</li><li>CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1</li><li>Company-supplied MacBook Pro or Air</li></ul></li><li>CAD $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Udemy Business</li><li>Regular company off-sites and meetups</li></ul><h1>Why Datatonic?</h1>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Salary: CAD 80,000 - 100,000<h2>Are you ready to make an impact?</h2>Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

We are looking for an IT Systems Engineer to join our global team. You’ll report directly to our Head of IT and Security (based in Canada) and work closely with our IT Support Engineers in London and Zagreb.

We’re seeking someone who’s passionate about building reliable, scalable IT systems and implementing Infrastructure as Code (IaC) best practices, while also being comfortable handling day-to-day IT support when needed.

In this role, you’ll help design, implement, and manage our modern IT environment. You’ll automate processes, maintain our cloud tools and services, and support our team to ensure seamless, secure operations as we continue to grow.

If you enjoy working in cloud-first environments, love solving technical challenges through automation, and thrive in a collaborative, fast-paced setting—we’d love to hear from you.


WHAT YOU’LL DO

 - Infrastructure as Code (IaC): Design, implement, and maintain infrastructure and configurations using tools like Terraform or Pulumi.

 - Systems Management: Manage and optimize IT systems, including Google Workspace, Okta, Cloudflare, Kandji, SentinelOne, and macOS environments, as well as SaaS applications like Jira and Notion.

 - Automation & Efficiency: Identify opportunities to automate IT processes, improve workflows, and enhance security posture.

 - Support & Troubleshooting: Provide timely resolution for IT support requests, ensuring minimal disruption for colleagues.

 - Security & Compliance: Help enforce security best practices and support compliance initiatives such as ISO 27001.

 - Documentation & Training: Create and maintain clear documentation for systems, processes, and troubleshooting. Assist with user training to empower colleagues to solve basic technical issues independently.
   


WHAT YOU’LL BRING

 - Bachelor’s degree in IT, Computer Science, or a related field—or equivalent practical experience.

 - Proven experience in a similar IT role with emphasis on system administration and infrastructure management.

 - Hands-on experience administering Okta and Google Workspace.

 - Prior experience implementing and managing Zero Trust Network Access (ZTNA) and Secure Access Service Edge (SASE) solutions, ideally using Cloudflare.

 - Practical experience with Infrastructure as Code tools such as Terraform, Ansible or Pulumi.

 - Working knowledge of Python and bash scripting for automation and systems tasks.

 - Excellent communication skills, with the ability to explain technical topics to both technical and non-technical audiences.


BONUS POINTS IF YOU HAVE

 - Apple Certification such as Apple Certified Support Professional (ACSP) and or Apple Certified Mac Technician (ACMT)

 - ITIL, CSAM, CISA, and/or CISSP certifications

 - Strong knowledge of ISO 27001

 - Prior experience administering and supporting Apple MacOS in a MDM environment


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan after 3 months

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!

 - Home office budget - We are 100% remote!
   
   - CAD $70/month for internet/phone expenses
   
   - CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
   
   - Company-supplied MacBook Pro or Air

 - CAD $400/year for books, relevant app subscriptions or an e-reader.

 - Opportunities for paid certifications

 - Opportunities for professional and personal learning through Udemy Business

 - Regular company off-sites and meetups


WHY DATATONIC?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Salary: CAD 80,000 - 100,000


ARE YOU READY TO MAKE AN IMPACT?

Apply now and take your career to the next level.

IT Systems Engineer 

On behalf of our group company, Syntio, we are looking for a Data Engineer to join our team in Croatia.<h2>About Syntio</h2>Syntio is a premium data engineering consultancy recognised for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.Innovation is at the core of what we do. Our dedicated R&amp;D department ensures we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.<h3>Location &amp; Work Model</h3>This role is based in Croatia, with our offices located in Zagreb. We follow a hybrid working model, including occasional travel to the office.<h3>Language &amp; Communication</h3>While our Croatian office operates primarily in Croatian, we collaborate with multinational clients. Datatonic is an English-speaking company, so we are looking for candidates fluent in English, both written and spoken, as it is our main language of communication.<h2>Your Mission</h2>As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2><ul style="min-height:1.5em"><li>Exciting Projects: Engage in diverse and challenging data engineering projects across industries.</li><li>Learning &amp; Development: Access continuous learning opportunities, certification plans, and Syntio's extensive knowledge library.</li><li>Competitive Salary &amp; Benefits: Attractive compensation package and employee benefits.</li><li>Innovative Culture: We encourage fresh ideas and daily experimentation to drive innovation.</li><li>Community &amp; Social Activities: Participate in events organized by the Syntio Sports and Social Club.</li><li>Professional Growth: Benefit from development programs like The Power Business School.</li></ul><h1>Why Syntio?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Syntio, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

On behalf of our group company, Syntio, we are looking for a Data Engineer to join our team in Croatia.


ABOUT SYNTIO

Syntio is a premium data engineering consultancy recognised for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.

Innovation is at the core of what we do. Our dedicated R&D department ensures we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.


LOCATION & WORK MODEL

This role is based in Croatia, with our offices located in Zagreb. We follow a hybrid working model, including occasional travel to the office.


LANGUAGE & COMMUNICATION

While our Croatian office operates primarily in Croatian, we collaborate with multinational clients. Datatonic is an English-speaking company, so we are looking for candidates fluent in English, both written and spoken, as it is our main language of communication.


YOUR MISSION

As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

 - Exciting Projects: Engage in diverse and challenging data engineering projects across industries.

 - Learning & Development: Access continuous learning opportunities, certification plans, and Syntio's extensive knowledge library.

 - Competitive Salary & Benefits: Attractive compensation package and employee benefits.

 - Innovative Culture: We encourage fresh ideas and daily experimentation to drive innovation.

 - Community & Social Activities: Participate in events organized by the Syntio Sports and Social Club.

 - Professional Growth: Benefit from development programs like The Power Business School.


WHY SYNTIO?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Syntio, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Machine Learning Engineer 

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan after 3 months</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid!</li><li>Home office budget - We are 100% remote!<ul style="min-height:1.5em"><li>CAD $70/month for internet/phone expenses</li><li>CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1</li><li>Company-supplied MacBook Pro or Air</li></ul></li><li>CAD $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Udemy Business</li><li>Regular company off-sites and meetups</li></ul><h1>Why Datatonic?</h1>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.

Bonus Points If You Have:

 - Scale-up experience.

 - Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan after 3 months

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!

 - Home office budget - We are 100% remote!
   
   - CAD $70/month for internet/phone expenses
   
   - CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
   
   - Company-supplied MacBook Pro or Air

 - CAD $400/year for books, relevant app subscriptions or an e-reader.

 - Opportunities for paid certifications

 - Opportunities for professional and personal learning through Udemy Business

 - Regular company off-sites and meetups


WHY DATATONIC?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Machine Learning Engineer 

<h1>Transformation Lead (Sales &amp; Marketing)</h1><h3>Shape the Future of AI &amp; Data with Us</h3>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.As a Solutions Director for Sales &amp; Marketing you will architect and guide major data &amp; ai transformations in the Sales &amp; Marketing domain for leading enterprises. This is a new and exciting strategic role at Datatonic, operating at the intersection between cutting-edge technology and business impact. This is a part-billable and part pre-sales role where you will provide hands on guidance directly to CMO's, CRO's and their leadership teams. You will be instrumental in scaling out data &amp; ai solutions, including Customer Data Platforms, AI Marketing Workbenches, applied Generative AI, and more. <h3></h3><h3>What You’ll Do</h3><ul style="min-height:1.5em"><li>Provide Strategic Advisory: Act as a hands-on advisor to CMO and CRO functions, delivering discovery workshops/assessments, business value frameworks, strategic guidance, and transformation roadmaps that lead to larger implementation programs.</li><li>Drive Solution Sales: Partner with sales to architect high-value solutions in the Sales &amp; Marketing domain. Design and demonstrate clear use cases for AI and analytics, incorporating own industry knowledge, expertise and experience to drive innovation for our clients.</li><li>Champion the Innovation Hub: Spearhead the creation of new data and AI solutions, partnering with internal Go-To-Market and Office of the CTO teams, to build market-ready assets and solutions, to be productised and taken to our enterprise clients.</li><li>Architect for Impact: Design and propose solution architectures, delivery phases, and commercial models tied directly to client revenue and marketing KPIs.</li><li>Own Commercial Success: Own solution bookings quota by building compelling business cases for customers that demonstrate clear ROI and secure complex deals with sales &amp; tech leads.</li></ul><h3>What You’ll Bring</h3><ul style="min-height:1.5em"><li>Significant experience in:<ul style="min-height:1.5em"><li>Consulting, solution architecture, or technical pre-sales, with a clear focus on enterprise sales and marketing functions, or</li><li>Proven track record from industry (e.g. CMO or VP Marketing etc. in scale ups), transforming sales &amp; marketing functions with cutting-edge Data &amp; AI technology.</li></ul></li><li>Deep proficiency across the enterprise Martech and/or Adtech stack (e.g. CDPs, CRMs, Marketing Automation), experienced in both B2B and B2C industries.</li><li>Exceptional ability to translate complex data and AI concepts into value-driven narratives for C-suite stakeholders.</li><li>Strong commercial acumen with a track record of contributing to or owning pre-sales KPIs and sales quotas.</li><li>Proven success facilitating senior client workshops and building trusted advisor relationships.</li><li>Ability to thrive and collaborate effectively in a global, distributed team environment.</li></ul><h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid! </li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

TRANSFORMATION LEAD (SALES & MARKETING)


SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

As a Solutions Director for Sales & Marketing you will architect and guide major data & ai transformations in the Sales & Marketing domain for leading enterprises. This is a new and exciting strategic role at Datatonic, operating at the intersection between cutting-edge technology and business impact. This is a part-billable and part pre-sales role where you will provide hands on guidance directly to CMO's, CRO's and their leadership teams. You will be instrumental in scaling out data & ai solutions, including Customer Data Platforms, AI Marketing Workbenches, applied Generative AI, and more.





WHAT YOU’LL DO

 - Provide Strategic Advisory: Act as a hands-on advisor to CMO and CRO functions, delivering discovery workshops/assessments, business value frameworks, strategic guidance, and transformation roadmaps that lead to larger implementation programs.

 - Drive Solution Sales: Partner with sales to architect high-value solutions in the Sales & Marketing domain. Design and demonstrate clear use cases for AI and analytics, incorporating own industry knowledge, expertise and experience to drive innovation for our clients.

 - Champion the Innovation Hub: Spearhead the creation of new data and AI solutions, partnering with internal Go-To-Market and Office of the CTO teams, to build market-ready assets and solutions, to be productised and taken to our enterprise clients.

 - Architect for Impact: Design and propose solution architectures, delivery phases, and commercial models tied directly to client revenue and marketing KPIs.

 - Own Commercial Success: Own solution bookings quota by building compelling business cases for customers that demonstrate clear ROI and secure complex deals with sales & tech leads.


WHAT YOU’LL BRING

 - Significant experience in:
   
   - Consulting, solution architecture, or technical pre-sales, with a clear focus on enterprise sales and marketing functions, or
   
   - Proven track record from industry (e.g. CMO or VP Marketing etc. in scale ups), transforming sales & marketing functions with cutting-edge Data & AI technology.

 - Deep proficiency across the enterprise Martech and/or Adtech stack (e.g. CDPs, CRMs, Marketing Automation), experienced in both B2B and B2C industries.

 - Exceptional ability to translate complex data and AI concepts into value-driven narratives for C-suite stakeholders.

 - Strong commercial acumen with a track record of contributing to or owning pre-sales KPIs and sales quotas.

 - Proven success facilitating senior client workshops and building trusted advisor relationships.

 - Ability to thrive and collaborate effectively in a global, distributed team environment.


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!
   


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Solutions Director (Sales & Marketing)

<h1>Solutions Director (Sales &amp; Marketing)</h1><h3>Shape the Future of AI &amp; Data with Us</h3>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.As a Solutions Director for Sales &amp; Marketing you will architect and guide major data &amp; ai transformations in the Sales &amp; Marketing domain for leading enterprises. This is a new and exciting strategic role at Datatonic, operating at the intersection between cutting-edge technology and business impact. This is a part-billable and part pre-sales role where you will provide hands on guidance directly to CMO's, CRO's and their leadership teams. You will be instrumental in scaling out data &amp; ai solutions, including Customer Data Platforms, AI Marketing Workbenches, applied Generative AI, and more. <h3></h3><h3>What You’ll Do</h3><ul style="min-height:1.5em"><li>Provide Strategic Advisory: Act as a hands-on advisor to CMO and CRO functions, delivering discovery workshops/assessments, business value frameworks, strategic guidance, and transformation roadmaps that lead to larger implementation programs.</li><li>Drive Solution Sales: Partner with sales to architect high-value solutions in the Sales &amp; Marketing domain. Design and demonstrate clear use cases for AI and analytics, incorporating own industry knowledge, expertise and experience to drive innovation for our clients.</li><li>Champion the Innovation Hub: Spearhead the creation of new data and AI solutions, partnering with internal Go-To-Market and Office of the CTO teams, to build market-ready assets and solutions, to be productised and taken to our enterprise clients.</li><li>Architect for Impact: Design and propose solution architectures, delivery phases, and commercial models tied directly to client revenue and marketing KPIs.</li><li>Own Commercial Success: Own solution bookings quota by building compelling business cases for customers that demonstrate clear ROI and secure complex deals with sales &amp; tech leads.</li></ul><h3>What You’ll Bring</h3><ul style="min-height:1.5em"><li>Significant experience in:<ul style="min-height:1.5em"><li>Consulting, solution architecture, or technical pre-sales, with a clear focus on enterprise sales and marketing functions, or</li><li>Proven track record from industry (e.g. CMO or VP Marketing etc. in scale ups), transforming sales &amp; marketing functions with cutting-edge Data &amp; AI technology.</li></ul></li><li>Deep proficiency across the enterprise Martech and/or Adtech stack (e.g. CDPs, CRMs, Marketing Automation), experinced in both B2B and B2C industries.</li><li>Exceptional ability to translate complex data and AI concepts into value-driven narratives for C-suite stakeholders.</li><li>Strong commercial acumen with a track record of contributing to or owning pre-sales KPIs and sales quotas.</li><li>Proven success facilitating senior client workshops and building trusted advisor relationships.</li><li>Ability to thrive and collaborate effectively in a global, distributed team environment.</li></ul><h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SOLUTIONS DIRECTOR (SALES & MARKETING)


SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

As a Solutions Director for Sales & Marketing you will architect and guide major data & ai transformations in the Sales & Marketing domain for leading enterprises. This is a new and exciting strategic role at Datatonic, operating at the intersection between cutting-edge technology and business impact. This is a part-billable and part pre-sales role where you will provide hands on guidance directly to CMO's, CRO's and their leadership teams. You will be instrumental in scaling out data & ai solutions, including Customer Data Platforms, AI Marketing Workbenches, applied Generative AI, and more.





WHAT YOU’LL DO

 - Provide Strategic Advisory: Act as a hands-on advisor to CMO and CRO functions, delivering discovery workshops/assessments, business value frameworks, strategic guidance, and transformation roadmaps that lead to larger implementation programs.

 - Drive Solution Sales: Partner with sales to architect high-value solutions in the Sales & Marketing domain. Design and demonstrate clear use cases for AI and analytics, incorporating own industry knowledge, expertise and experience to drive innovation for our clients.

 - Champion the Innovation Hub: Spearhead the creation of new data and AI solutions, partnering with internal Go-To-Market and Office of the CTO teams, to build market-ready assets and solutions, to be productised and taken to our enterprise clients.

 - Architect for Impact: Design and propose solution architectures, delivery phases, and commercial models tied directly to client revenue and marketing KPIs.

 - Own Commercial Success: Own solution bookings quota by building compelling business cases for customers that demonstrate clear ROI and secure complex deals with sales & tech leads.


WHAT YOU’LL BRING

 - Significant experience in:
   
   - Consulting, solution architecture, or technical pre-sales, with a clear focus on enterprise sales and marketing functions, or
   
   - Proven track record from industry (e.g. CMO or VP Marketing etc. in scale ups), transforming sales & marketing functions with cutting-edge Data & AI technology.

 - Deep proficiency across the enterprise Martech and/or Adtech stack (e.g. CDPs, CRMs, Marketing Automation), experinced in both B2B and B2C industries.

 - Exceptional ability to translate complex data and AI concepts into value-driven narratives for C-suite stakeholders.

 - Strong commercial acumen with a track record of contributing to or owning pre-sales KPIs and sales quotas.

 - Proven success facilitating senior client workshops and building trusted advisor relationships.

 - Ability to thrive and collaborate effectively in a global, distributed team environment.


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years)

 - Cycle to Work Scheme

 - Tech Scheme


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations. We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Pipeline Development: Collaborate with clients to design and implement robust DevOps pipelines</li><li>Best Practices Advisory: Provide expert advice to customers on DevOps best practices</li><li>Function Optimisation: Establish and enhance DevOps functions within clients’ organisations</li><li>Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>DevOps Experience: 3+ years of experience in the DevOps field or as a Software Engineer</li><li>Programming Skills: Proficiency in Python, Java, or Go programming languages</li><li>CI/CD Expertise: In-depth knowledge of CI/CD tools and processes</li><li>Tech Enthusiasm: Strong passion for technology and a drive to continuously learn</li><li>Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment</li><li>Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes</li><li>SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles</li><li>Cloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google Cloud</li><li>Client-Facing Role: Prior experience in a client-facing position</li><li>SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 30 days holiday (plus public holidays)</li><li>Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)</li><li>Pension: Private Salary Sacrifice Pension available</li><li>Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)</li><li>Fitness &amp; Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)</li><li>Learning &amp; Development: Access to Learning Platforms and paid Certifications</li></ul><h2>Why Datatonic?</h2>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations.

We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.


WHAT YOU’LL DO

 - Pipeline Development: Collaborate with clients to design and implement robust DevOps pipelines

 - Best Practices Advisory: Provide expert advice to customers on DevOps best practices

 - Function Optimisation: Establish and enhance DevOps functions within clients’ organisations

 - Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery


WHAT YOU’LL BRING

 - DevOps Experience: 3+ years of experience in the DevOps field or as a Software Engineer

 - Programming Skills: Proficiency in Python, Java, or Go programming languages

 - CI/CD Expertise: In-depth knowledge of CI/CD tools and processes

 - Tech Enthusiasm: Strong passion for technology and a drive to continuously learn

 - Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts


BONUS POINTS IF YOU HAVE:

 - Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment

 - Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes

 - SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles

 - Cloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google Cloud

 - Client-Facing Role: Prior experience in a client-facing position

 - SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 30 days holiday (plus public holidays)

 - Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)

 - Pension: Private Salary Sacrifice Pension available

 - Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)

 - Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)

 - Learning & Development: Access to Learning Platforms and paid Certifications


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior DevOps Engineer 

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Lead Machine Learning Engineer, you will be the technical authority for our most ambitious client projects. You will set the technical vision, guide teams of talented engineers, and translate complex business challenges into cutting-edge AI solutions on Google Cloud. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.This is a hands-on leadership role where you will not only architect solutions but also actively lead client discussions and oversee project delivery from start to finish. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimization and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Drive Technical Strategy from Pre-Sales to Delivery: Act as the lead technical authority in high-stakes engagements. You will partner with our commercial team to architect winning solutions, and then lead the delivery of enterprise-grade systems—such as GenAI agents for financial institutions, real-time recommendation engines for global retailers, or predictive maintenance models for the manufacturing sector.</li><li>Architect &amp; Implement Production-Grade Solutions: Own the complete technical lifecycle for your projects. You will design end-to-end ML architectures on GCP, implement robust MLOps pipelines using Infrastructure-as-Code (Terraform), and ensure all solutions—from sophisticated multi-agent systems to classical models—are optimized for performance, scalability, and security.</li><li>Shape Our Technical Standards: Collaborate directly with the Head of Delivery to define the technical DNA of our ML practice, evolving the best practices, architectural patterns, and standards that ensure excellence across the company.</li><li>Lead Strategic Internal Initiatives: Spearhead the development of internal accelerators and reusable frameworks that enhance our delivery capabilities and solidify our position as industry leaders.</li><li>Cultivate Engineering Talent: Formally mentor and coach our junior and mid-level engineers, elevating the team's collective skill set through rigorous code reviews, technical guidance, and career development.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: You have 7+ years of professional experience in machine learning and software engineering, with at least 2 years in a formal or informal leadership capacity (e.g., tech lead, project lead, or senior mentor).</li><li>Cloud &amp; Systems Architecture Expertise: You possess a proven ability to architect and deploy scalable, production-grade ML solutions on a major cloud platform (GCP is a significant asset). This includes hands-on experience with Infrastructure-as-Code tools (e.g., Terraform) and designing for distributed computing.</li><li>Expert-Level Engineering Craftsmanship: You have deep, hands-on expertise in Python for backend ML systems and a mastery of software engineering best practices (e.g., clean architecture, robust testing, CI/CD). You can fluently design and build REST APIs (e.g., using Flask/FastAPI) and are proficient in SQL for complex data manipulation.</li><li>Consultative Communication &amp; Mentorship: You have an exceptional ability to communicate complex technical concepts to diverse audiences, from C-level stakeholders to junior engineers. You excel at leading technical discussions, presenting solutions, and mentoring teammates to elevate their skills.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Prior experience in a client-facing or consulting role.</li><li>Professional Google Cloud certifications (e.g., Professional Machine Learning Engineer).</li><li>Deep experience with the broader MLOps ecosystem (e.g., Kubeflow, Vertex AI Pipelines, MLflow).</li><li>Experience building interactive demos for ML models (e.g., using Streamlit, Gradio).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan after 3 months</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid!</li><li>Home office budget - We are 100% remote!<ul style="min-height:1.5em"><li>CAD $70/month for internet/phone expenses</li><li>CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1</li><li>Company-supplied MacBook Pro or Air</li></ul></li><li>CAD $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Udemy Business</li><li>Regular company off-sites and meetups</li></ul><h1>Why Datatonic?</h1>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Salary: CAD 175,000 - 200,000.<h1>Are you ready to make an impact?</h1>Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Lead Machine Learning Engineer, you will be the technical authority for our most ambitious client projects. You will set the technical vision, guide teams of talented engineers, and translate complex business challenges into cutting-edge AI solutions on Google Cloud. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

This is a hands-on leadership role where you will not only architect solutions but also actively lead client discussions and oversee project delivery from start to finish. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimization and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Drive Technical Strategy from Pre-Sales to Delivery: Act as the lead technical authority in high-stakes engagements. You will partner with our commercial team to architect winning solutions, and then lead the delivery of enterprise-grade systems—such as GenAI agents for financial institutions, real-time recommendation engines for global retailers, or predictive maintenance models for the manufacturing sector.

 - Architect & Implement Production-Grade Solutions: Own the complete technical lifecycle for your projects. You will design end-to-end ML architectures on GCP, implement robust MLOps pipelines using Infrastructure-as-Code (Terraform), and ensure all solutions—from sophisticated multi-agent systems to classical models—are optimized for performance, scalability, and security.

 - Shape Our Technical Standards: Collaborate directly with the Head of Delivery to define the technical DNA of our ML practice, evolving the best practices, architectural patterns, and standards that ensure excellence across the company.

 - Lead Strategic Internal Initiatives: Spearhead the development of internal accelerators and reusable frameworks that enhance our delivery capabilities and solidify our position as industry leaders.

 - Cultivate Engineering Talent: Formally mentor and coach our junior and mid-level engineers, elevating the team's collective skill set through rigorous code reviews, technical guidance, and career development.


WHAT YOU’LL BRING

 - Experience: You have 7+ years of professional experience in machine learning and software engineering, with at least 2 years in a formal or informal leadership capacity (e.g., tech lead, project lead, or senior mentor).

 - Cloud & Systems Architecture Expertise: You possess a proven ability to architect and deploy scalable, production-grade ML solutions on a major cloud platform (GCP is a significant asset). This includes hands-on experience with Infrastructure-as-Code tools (e.g., Terraform) and designing for distributed computing.

 - Expert-Level Engineering Craftsmanship: You have deep, hands-on expertise in Python for backend ML systems and a mastery of software engineering best practices (e.g., clean architecture, robust testing, CI/CD). You can fluently design and build REST APIs (e.g., using Flask/FastAPI) and are proficient in SQL for complex data manipulation.

 - Consultative Communication & Mentorship: You have an exceptional ability to communicate complex technical concepts to diverse audiences, from C-level stakeholders to junior engineers. You excel at leading technical discussions, presenting solutions, and mentoring teammates to elevate their skills.

Bonus Points If You Have:

 - Prior experience in a client-facing or consulting role.

 - Professional Google Cloud certifications (e.g., Professional Machine Learning Engineer).

 - Deep experience with the broader MLOps ecosystem (e.g., Kubeflow, Vertex AI Pipelines, MLflow).

 - Experience building interactive demos for ML models (e.g., using Streamlit, Gradio).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan after 3 months

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!

 - Home office budget - We are 100% remote!
   
   - CAD $70/month for internet/phone expenses
   
   - CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
   
   - Company-supplied MacBook Pro or Air

 - CAD $400/year for books, relevant app subscriptions or an e-reader.

 - Opportunities for paid certifications

 - Opportunities for professional and personal learning through Udemy Business

 - Regular company off-sites and meetups


WHY DATATONIC?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Salary: CAD 175,000 - 200,000.


ARE YOU READY TO MAKE AN IMPACT?

Apply now and take your career to the next level.

Lead Machine Learning Engineer 

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