<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 a Cloud 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 a Cloud 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.

AI Architect (Cloud GCP)

<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 Principal Machine Learning Engineer (equivalent to a Lead Engineer in many organisations), you'll be a visionary leader, driving technical excellence and innovation. You'll not only engineer beautiful code in Python but also set the standard for high-quality engineering and best practices across production software and rapid prototypes.This is a hands-on technical role with significant leadership responsibilities. You will lead projects, mentor junior and senior engineers, and actively drive client discussions. Your responsibilities will involve building trusted relationships with prospects, defining strategic approaches to use machine learning to solve complex problems, overseeing project scoping, and ensuring the successful, high-impact delivery of these engagements. You will be a key voice in shaping our technical direction and fostering a culture of innovation.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 ambiguous and complex requirements, translating them into clear technical specifications and leading the development of innovative models to solve real-world, high-impact problems.</li><li>Data Science: Lead and oversee ML experiments, driving the selection of appropriate programming languages and machine learning libraries, and establishing best practices for experimental design and analysis.</li><li>GenAI: Pioneer the application of generative AI to develop groundbreaking and innovative solutions, setting technical direction and strategy.</li><li>Optimisation: Architect and implement advanced optimisation strategies for machine learning solutions, ensuring peak performance, scalability, and cost-efficiency across large-scale systems.</li><li>Custom Code: Design and implement highly tailored, complex machine learning code to meet unique and challenging business needs, often involving novel approaches.</li><li>Data Engineering: Own and define the strategy for efficient data flow between complex databases and distributed backend systems, ensuring data integrity and accessibility for ML initiatives.</li><li>MLOps: Establish and champion MLOps best practices, leading the automation of ML workflows, and driving advancements in testing, reproducibility, and robust feature/metadata storage solutions.</li><li>ML Architecture Design: Lead the design and evolution of sophisticated machine learning architectures, leveraging advanced Google Cloud tools and services to build resilient and scalable platforms.</li><li>Engineering Software for Production: Drive the development and deployment of production-grade software for machine learning and data-driven solutions, ensuring high standards of code quality, reliability, and maintainability.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 5+ years of progressive experience as a Machine Learning Engineer, with a significant portion in a leadership or consulting capacity, demonstrating a proven ability to lead complex projects and teams. This includes experience in technical leadership, guiding architectural decisions, and potentially people leadership or mentorship.</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: Exceptional communication, negotiation, and presentation skills to effectively articulate complex technical concepts to diverse audiences, including senior leadership and clients, and to influence strategic decisions.</li><li>Leadership: Demonstrated ability to lead, inspire, and mentor engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.</li></ul><h3>Bonus Points If You Have:</h3><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 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 Principal Machine Learning Engineer (equivalent to a Lead Engineer in many organisations), you'll be a visionary leader, driving technical excellence and innovation. You'll not only engineer beautiful code in Python but also set the standard for high-quality engineering and best practices across production software and rapid prototypes.

This is a hands-on technical role with significant leadership responsibilities. You will lead projects, mentor junior and senior engineers, and actively drive client discussions. Your responsibilities will involve building trusted relationships with prospects, defining strategic approaches to use machine learning to solve complex problems, overseeing project scoping, and ensuring the successful, high-impact delivery of these engagements. You will be a key voice in shaping our technical direction and fostering a culture of innovation.

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 ambiguous and complex requirements, translating them into clear technical specifications and leading the development of innovative models to solve real-world, high-impact problems.

 - Data Science: Lead and oversee ML experiments, driving the selection of appropriate programming languages and machine learning libraries, and establishing best practices for experimental design and analysis.

 - GenAI: Pioneer the application of generative AI to develop groundbreaking and innovative solutions, setting technical direction and strategy.

 - Optimisation: Architect and implement advanced optimisation strategies for machine learning solutions, ensuring peak performance, scalability, and cost-efficiency across large-scale systems.

 - Custom Code: Design and implement highly tailored, complex machine learning code to meet unique and challenging business needs, often involving novel approaches.

 - Data Engineering: Own and define the strategy for efficient data flow between complex databases and distributed backend systems, ensuring data integrity and accessibility for ML initiatives.

 - MLOps: Establish and champion MLOps best practices, leading the automation of ML workflows, and driving advancements in testing, reproducibility, and robust feature/metadata storage solutions.

 - ML Architecture Design: Lead the design and evolution of sophisticated machine learning architectures, leveraging advanced Google Cloud tools and services to build resilient and scalable platforms.

 - Engineering Software for Production: Drive the development and deployment of production-grade software for machine learning and data-driven solutions, ensuring high standards of code quality, reliability, and maintainability.


WHAT YOU’LL BRING

 - Experience: 5+ years of progressive experience as a Machine Learning Engineer, with a significant portion in a leadership or consulting capacity, demonstrating a proven ability to lead complex projects and teams. This includes experience in technical leadership, guiding architectural decisions, and potentially people leadership or mentorship.

 - 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: Exceptional communication, negotiation, and presentation skills to effectively articulate complex technical concepts to diverse audiences, including senior leadership and clients, and to influence strategic decisions.

 - Leadership: Demonstrated ability to lead, inspire, and mentor engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.


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

<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.

Solutions Director (Sales & Marketing)

<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 

<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

<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>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 be a key individual contributor, engineering beautiful code in Python and taking pride in what you produce. You'll advocate for high-quality engineering and best practices in production software and rapid prototypes.While this is a hands-on technical role, you'll also contribute to client discussions and help scope projects, applying machine learning creatively to solve problems.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 well-defined requirements and develop models to solve specific problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries, focusing on established methodologies.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise existing machine learning solutions for performance and scalability under guidance.</li><li>Custom Code: Implement tailored machine learning code for specific features or modules.</li><li>Data Engineering: Contribute to ensuring 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 of experience as a Machine Learning Engineer, preferably with a consulting background, demonstrating a strong track record of successful project delivery on individual contributions.</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 skills to effectively convey technical concepts to team members and stakeholders.</li></ul><h3>Bonus Points If You Have:</h3><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 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 be a key individual contributor, engineering beautiful code in Python and taking pride in what you produce. You'll advocate for high-quality engineering and best practices in production software and rapid prototypes.

While this is a hands-on technical role, you'll also contribute to client discussions and help scope projects, applying machine learning creatively to solve problems.

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 well-defined requirements and develop models to solve specific problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries, focusing on established methodologies.

 - GenAI: Leverage generative AI to develop innovative solutions.

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

 - Custom Code: Implement tailored machine learning code for specific features or modules.

 - Data Engineering: Contribute to ensuring 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 of experience as a Machine Learning Engineer, preferably with a consulting background, demonstrating a strong track record of successful project delivery on individual contributions.

 - 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 skills to effectively convey technical concepts to team members and stakeholders.


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

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>Marketing Executive 👩‍💼🧑‍💼</h2>Datatonic is looking for a highly motivated and well-rounded Marketing Executive with a strong grasp of the full marketing mix to support and execute integrated B2B marketing campaigns. You’ll play a key role in driving demand and pipeline generation, working closely with Sales, Partnerships, and Product teams. This role is ideal for someone who thrives in a fast-paced, results-driven environment and is passionate about delivering impactful marketing that directly supports business growth. <h3>What you’ll do 🚀</h3>+ Develop and execute multi-channel B2B marketing campaigns targeting enterprise audiences+ Support Account-Based Marketing (ABM) initiatives to engage high-value accounts in close alignment with sales+ Partner with the sales team to build pipeline, influence deal velocity, and provide relevant collateral and tools+ Track and measure marketing influence on pipeline and revenue; adapt strategy based on performance data+ Create compelling content including case studies, whitepapers, emails, landing pages, and sales assets+ Ensure content aligns with brand messaging and supports the buyer journey across all stages+ Plan and deliver events, webinars, and trade shows to engage and convert prospects+ Manage and grow strategic partner marketing relationships to extend reach and co-create campaigns+ Monitor and report on campaign performance, ROI, and key marketing KPIs+ Use performance insights to optimize campaigns and demonstrate marketing’s contribution to revenue<h3>What you’ll bring 🤝</h3>+ Experience in a B2B marketing role, ideally within enterprise or tech+ Strong understanding of the full marketing mix with experience in both digital and offline channels+ Hands-on experience with ABM, campaign management, and content development.+ Proven track record in working closely with sales teams to build and accelerate pipelines 💵+ Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Marketo, etc.).+ Analytical mindset with experience in pipeline tracking and ROI reporting 📊+ Project Management, Organisation, Stakeholder Management, Communication &amp; Agility <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: 20 days of paid vacation per calendar year (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><h3>Why us?</h3>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!

MARKETING EXECUTIVE 👩‍💼🧑‍💼

Datatonic is looking for a highly motivated and well-rounded Marketing Executive with a strong grasp of the full marketing mix to support and execute integrated B2B marketing campaigns. You’ll play a key role in driving demand and pipeline generation, working closely with Sales, Partnerships, and Product teams. This role is ideal for someone who thrives in a fast-paced, results-driven environment and is passionate about delivering impactful marketing that directly supports business growth.



WHAT YOU’LL DO 🚀

+ Develop and execute multi-channel B2B marketing campaigns targeting enterprise audiences

+ Support Account-Based Marketing (ABM) initiatives to engage high-value accounts in close alignment with sales

+ Partner with the sales team to build pipeline, influence deal velocity, and provide relevant collateral and tools

+ Track and measure marketing influence on pipeline and revenue; adapt strategy based on performance data

+ Create compelling content including case studies, whitepapers, emails, landing pages, and sales assets

+ Ensure content aligns with brand messaging and supports the buyer journey across all stages

+ Plan and deliver events, webinars, and trade shows to engage and convert prospects

+ Manage and grow strategic partner marketing relationships to extend reach and co-create campaigns

+ Monitor and report on campaign performance, ROI, and key marketing KPIs

+ Use performance insights to optimize campaigns and demonstrate marketing’s contribution to revenue


WHAT YOU’LL BRING 🤝

+ Experience in a B2B marketing role, ideally within enterprise or tech

+ Strong understanding of the full marketing mix with experience in both digital and offline channels

+ Hands-on experience with ABM, campaign management, and content development.

+ Proven track record in working closely with sales teams to build and accelerate pipelines 💵

+ Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Marketo, etc.).

+ Analytical mindset with experience in pipeline tracking and ROI reporting 📊

+ Project Management, Organisation, Stakeholder Management, Communication & Agility



WHAT’S IN IT FOR YOU? 🏋💵☀️

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

 - Holiday: 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 US?

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!

Marketing Executive 

Workforce Planning LeadAs Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.As the Workforce Planning Lead, you won't just manage resources; you'll be the strategic force that optimises how we deliver our services to clients worldwide. You will take charge of our global delivery operations, building and leading a high-performing team that ensures our projects are not only successful but also profitable. This role is a unique opportunity to shape our operational strategy and directly influence company-wide success.You will have the autonomy to design and implement new processes, working hand-in-hand with senior leaders in Sales, Delivery, and Finance to drive efficiency. If you are a proactive problem-solver with a knack for process improvement, and you thrive on using data to make critical decisions, this is the role for you.<h2>What You'll Be Doing: Key Responsibilities</h2><h3>Strategic Leadership &amp; Team Management</h3><ul style="min-height:1.5em"><li>Establish a Vision: Build and lead a new, global Delivery Operations team, made up of our current talented team members. Your leadership will define the team’s culture and operational model.</li><li>Drive Process Innovation: Design, implement, and continuously improve global resource management processes. You will be a key leader in optimizing how we staff projects, ensuring we have the right people in the right places at the right time.</li><li>Mentor and Develop: Guide and manage your team, providing them with the support and coaching needed to excel in their roles and grow their careers.</li></ul><h3>Global Resource &amp; Capacity Management</h3><ul style="min-height:1.5em"><li>Maximise Impact and Profitability: Be the owner of our utilization metrics, ensuring that our billable resources are deployed effectively to meet revenue targets.</li><li>Be a Proactive Planner: Conduct forward-looking capacity planning across all our global delivery teams (UK, Europe &amp; Americas) and for all service lines (consulting, academy, managed services). You'll identify staffing gaps before they become a problem and work with leadership to build a robust pipeline of talent.</li><li>Orchestrate Project Success: Oversee resource assignments and requests, and partner with Delivery Managers to schedule projects for optimal delivery and client satisfaction.</li></ul><h3>Operational Excellence &amp; Business Enablement</h3><ul style="min-height:1.5em"><li>Ensure Data Integrity: Govern critical data in our systems to ensure accurate reporting and forecasting. You will be the trusted source of truth for key business metrics.</li><li>Streamline Workflows: Collaborate with stakeholders across the company—from Sales to Finance—to refine standard operating procedures for the entire project lifecycle, from initial opportunity to final delivery and invoicing.</li><li>Elevate Our Reporting: Produce key reports and dashboards for company leadership and executives, providing them with the insights they need to make strategic, data-driven decisions. This includes monitoring and managing timecard submission, billing, and invoicing to ensure smooth and accurate financial operations.</li></ul><h3>Who We're Looking For</h3><ul style="min-height:1.5em"><li>Previous experience in a management role, with a track record of leading and developing teams.</li><li>Proven experience in a global resource management function, ideally within a professional services or consulting environment.</li></ul>

Workforce Planning Lead

As Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

As the Workforce Planning Lead, you won't just manage resources; you'll be the strategic force that optimises how we deliver our services to clients worldwide. You will take charge of our global delivery operations, building and leading a high-performing team that ensures our projects are not only successful but also profitable. This role is a unique opportunity to shape our operational strategy and directly influence company-wide success.

You will have the autonomy to design and implement new processes, working hand-in-hand with senior leaders in Sales, Delivery, and Finance to drive efficiency. If you are a proactive problem-solver with a knack for process improvement, and you thrive on using data to make critical decisions, this is the role for you.


WHAT YOU'LL BE DOING: KEY RESPONSIBILITIES


STRATEGIC LEADERSHIP & TEAM MANAGEMENT

 - Establish a Vision: Build and lead a new, global Delivery Operations team, made up of our current talented team members. Your leadership will define the team’s culture and operational model.

 - Drive Process Innovation: Design, implement, and continuously improve global resource management processes. You will be a key leader in optimizing how we staff projects, ensuring we have the right people in the right places at the right time.

 - Mentor and Develop: Guide and manage your team, providing them with the support and coaching needed to excel in their roles and grow their careers.


GLOBAL RESOURCE & CAPACITY MANAGEMENT

 - Maximise Impact and Profitability: Be the owner of our utilization metrics, ensuring that our billable resources are deployed effectively to meet revenue targets.

 - Be a Proactive Planner: Conduct forward-looking capacity planning across all our global delivery teams (UK, Europe & Americas) and for all service lines (consulting, academy, managed services). You'll identify staffing gaps before they become a problem and work with leadership to build a robust pipeline of talent.

 - Orchestrate Project Success: Oversee resource assignments and requests, and partner with Delivery Managers to schedule projects for optimal delivery and client satisfaction.


OPERATIONAL EXCELLENCE & BUSINESS ENABLEMENT

 - Ensure Data Integrity: Govern critical data in our systems to ensure accurate reporting and forecasting. You will be the trusted source of truth for key business metrics.

 - Streamline Workflows: Collaborate with stakeholders across the company—from Sales to Finance—to refine standard operating procedures for the entire project lifecycle, from initial opportunity to final delivery and invoicing.

 - Elevate Our Reporting: Produce key reports and dashboards for company leadership and executives, providing them with the insights they need to make strategic, data-driven decisions. This includes monitoring and managing timecard submission, billing, and invoicing to ensure smooth and accurate financial operations.


WHO WE'RE LOOKING FOR

 - Previous experience in a management role, with a track record of leading and developing teams.

 - Proven experience in a global resource management function, ideally within a professional services or consulting environment.

Workforce Planning Lead

Sales &amp; Revenue Operations AnalystAs a leading cloud Data and AI consultancy, we provide world-class businesses with cutting-edge data solutions in the cloud. We deliver maximum impact for our clients by combining the best cloud technology, industry-leading expertise, and modern solution delivery practices. We help businesses future-proof their products, deepen their understanding of consumers, increase competitive advantage, and unlock operational efficiencies.We seek a diligent Sales Operations Specialist to support our growing global Professional Services team, reporting to the Global Director of Go-To-Market. The ideal candidate will be instrumental in ensuring the efficiency and effectiveness of our team by managing crucial sales data, streamlining administrative tasks, maintaining our CRM systems, and assisting in the onboarding of new team members. Datatonic sales organisation is scaling across multiple geographies to support planned company growth, making sales operations a vital function to ensure the effectiveness of the sales team.<h3>The Role:</h3><ul style="min-height:1.5em"><li>Sales Data Management: Analyse, compile, and present sales data in a timely and accurate manner, providing actionable insights and recommendations to drive sales strategies and performance. Ensure the sales process is followed by the team and the sales directors are able to make data-backed business decisions.</li><li>Sales Collateral and Template management</li><li>Organising and maintaining sales collateral and sales process template for access by the sales team</li><li>Administrative Support: Serve as the primary support professional for the sales team, assisting with daily administrative tasks, scheduling, reporting, and documentation to ensure a seamless workflow</li><li>CRM Management: Oversee the updating and optimisation of CRM templates/process to reflect the latest sales processes and customer insights, ensuring accurate tracking and reporting of sales activities. Proactively identify bottlenecks in the sales process and find ways to reduce them.</li><li>Onboarding Support: Facilitate the onboarding process for new sales team members, providing necessary resources, training, and support to ensure a smooth integration into the team and alignment with sales objectives</li><li>Sales Leadership Support: Collaborate closely with sales leadership to understand and implement strategic business improvement initiatives, ensuring that the sales team is equipped with the tools and information necessary for success</li></ul>Requirements:<ul style="min-height:1.5em"><li>Experience with CRM systems, preferably in a sales environment, with a curiosity to learn more</li><li>Strong analytical, project management and problem-solving skills</li><li>Excellent communication and interpersonal abilities. Confidence to challenge sales team members</li><li>Detail-oriented with a strong emphasis on accuracy and timeliness</li><li>Experience in a professional services sales environment</li></ul><ul style="min-height:1.5em"><li>Proven track record in sales operations or similar roles</li></ul>

Sales & Revenue Operations Analyst

As a leading cloud Data and AI consultancy, we provide world-class businesses with cutting-edge data solutions in the cloud. We deliver maximum impact for our clients by combining the best cloud technology, industry-leading expertise, and modern solution delivery practices. We help businesses future-proof their products, deepen their understanding of consumers, increase competitive advantage, and unlock operational efficiencies.

We seek a diligent Sales Operations Specialist to support our growing global Professional Services team, reporting to the Global Director of Go-To-Market. The ideal candidate will be instrumental in ensuring the efficiency and effectiveness of our team by managing crucial sales data, streamlining administrative tasks, maintaining our CRM systems, and assisting in the onboarding of new team members. Datatonic sales organisation is scaling across multiple geographies to support planned company growth, making sales operations a vital function to ensure the effectiveness of the sales team.


THE ROLE:

 - Sales Data Management: Analyse, compile, and present sales data in a timely and accurate manner, providing actionable insights and recommendations to drive sales strategies and performance. Ensure the sales process is followed by the team and the sales directors are able to make data-backed business decisions.

 - Sales Collateral and Template management

 - Organising and maintaining sales collateral and sales process template for access by the sales team

 - Administrative Support: Serve as the primary support professional for the sales team, assisting with daily administrative tasks, scheduling, reporting, and documentation to ensure a seamless workflow

 - CRM Management: Oversee the updating and optimisation of CRM templates/process to reflect the latest sales processes and customer insights, ensuring accurate tracking and reporting of sales activities. Proactively identify bottlenecks in the sales process and find ways to reduce them.

 - Onboarding Support: Facilitate the onboarding process for new sales team members, providing necessary resources, training, and support to ensure a smooth integration into the team and alignment with sales objectives

 - Sales Leadership Support: Collaborate closely with sales leadership to understand and implement strategic business improvement initiatives, ensuring that the sales team is equipped with the tools and information necessary for success

Requirements:

 - Experience with CRM systems, preferably in a sales environment, with a curiosity to learn more

 - Strong analytical, project management and problem-solving skills

 - Excellent communication and interpersonal abilities. Confidence to challenge sales team members

 - Detail-oriented with a strong emphasis on accuracy and timeliness

 - Experience in a professional services sales environment

 - Proven track record in sales operations or similar roles

Sales & Revenue Operations Analyst 

Let's talk

LinkedIn

Twitter

Medium

Youtube

<h2>Spontaneous 
application</h2>
Can’t see a vacancy that matches your profile in our current jobs? Datatonic is constantly looking for talented professionals, so please feel free to send us your spontaneous application. You will be contacted first if your profile matches one of our future vacancies.

Contact Page Form

<h1 class="uber" style="text-align: center;">Vacancies</h1>
Learn about cloud data engineering, modern BI, advanced data analytics and AI with our latest on-demand videos, how-to guides and blogs.

Agentspace

Agentspace for FSI

Agentspace for Media

Agentspace for Retail

AI Workbench

Cloud Data Migration

Generative AI

Creative Assistant

Fan Engagement

Gameplay Assistant

Media Search + Discovery

Retail Assistant

Looker

Managed Services

Marketing Analytics

Financial Services

Gaming

Media

Retail

Telecommunications

Events

Insights

Whitepapers

Vacancies

AI Architect (Cloud GCP)

Principal Machine Learning Engineer

Solutions Director (Sales & Marketing)

Lead Machine Learning Engineer

Senior Data & AI Architect

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Spontaneous
application

Agentspace

Agentspace for FSI

Agentspace for Media

Agentspace for Retail

AI Workbench

Cloud Data Migration

Generative AI

Creative Assistant

Fan Engagement

Gameplay Assistant

Media Search + Discovery

Retail Assistant

Looker

Managed Services

Marketing Analytics

Financial Services

Gaming

Media

Retail

Telecommunications

Events

Insights

Whitepapers

Vacancies

AI Architect (Cloud GCP)

Principal Machine Learning Engineer

Solutions Director (Sales & Marketing)

Lead Machine Learning Engineer

Senior Data & AI Architect

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Spontaneous application

Spontaneous
application