ML Engineering Lead

  • Data Science & Machine Learning
  • London, United Kingdom
  • Full-time

Description

As Google Cloud's premier partner in data and analytics, 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 Machine Learning Engineering Lead 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. 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.


As ML Engineering Lead at Datatonic, you will:

  • Work with our established team of Machine Learning Engineers in the UK, Sweden, Germany, Switzerland, and Spain, encouraging professional and personal development, as well as being hands-on with day-to-day project work.
  • Take a lead role with key client engagements, from presales through to delivery, helping frame and unlock disruptive value from world-class AI innovation.
  • Build innovative state-of-the-art solutions with our customers.
  • Work with the most innovative and most scalable data processing and ML technologies, including an open-source MLOPs platform.
  • Establish ML best practices in the team and support the end-to-end consulting lifecycle: From high-level business case development and opportunity identification to fine-tuning of assumptions and solution valuations pre-and post-delivery.
  • Play an active role in helping to maintain an excellent team culture and work with the Head of People to help build the team further.
  • Work closely with our tech partners: Google Cloud, Snowflake, Intel, DoIT
  • Work in a dynamic, agile environment.

Requirements

  • Demonstrated leadership and management experience of technical employees.
  • Commitment to continuous professional development - both for self and for team members.
  • Excellent presentation skills including the ability to clearly explain complex analyses to various audiences and levels of seniority (including Directors, Executives and Board level).
  • Multiple years experience as an ML Engineer
  • Comfortable working with python as a backend language, delivering code in well-tested CI/CD pipelines.
  • Familiarity with cloud environments (GCP, AWS, Azure).
  • Experience with Software Engineering.
  • Good knowledge of SQL.
  • Knowledge of scaling up computations (GPUs, distributed computing, ..).
  • Familiarity exposing ML components through web services or wrappers (e.g. Flask in Python).
  • Strong communication and presentation skills.


Benefits

The Basics: 25 days holiday in addition to bank holidays, choice of laptop, pension scheme (3% employer pension, rising by extra 1% per year worked), team bonus payable annually, tech scheme, £100 home equipment allowance

Health & Wellbeing: Private Healthcare, Employee Assistance Program, Cycle-to-Work scheme, Discounted Gym Membership

Learning: Datatonic encourages continuous learning at all levels with a generous conference budget, freedom to explore the latest tools and technologies as well as regular knowledge-sharing activities. You will get access to Linux Academy, Coursera, and LinkedIn Learning and a £700 Conference Budget with 4 days of attendance per year

Career Development: A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression

Impact: The opportunity to work on cutting-edge AI and ML solutions spanning multiple industries and with market-leading organisations

Innovation: Access to Datatonic LABs, our Research & Development hub. Experiment and bring forward ideas, create impactful and meaningful work in a creative and collaborative environment - even just for fun!

Office Environment: A modern office set in the innovation hub of Canary Wharf with complimentary fruit, cookies, tea/coffee throughout the day as well as a shared café and working space with panoramic views of London

Team Vibe & Social: A welcoming and friendly team plus regular monthly social events and team offsites including Tasty Tuesdays (paid lunch) and Thirsty Thursdays (team drinks).


Working for Datatonic

Our UK headquarters is based in a tech-centric environment in the centre of Canary Wharf. We also have offices in Stockholm and Geneva and we work with clients in many other European countries. We allow for flexible working hours and the possibility of remote work.

We’re an eclectic team with lots of different interests and personalities. We have many different roles across data science, engineering, analytics, consulting, marketing, business development, and operations. As a company, we have a strong emphasis on learning and professional development. Our core values are:

Cultivating Excellence

A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.

Owning It

Working collaboratively in cross-functional teams to achieve customer delight. We love what we do and draw immense satisfaction from taking responsibility and seeing the results of our work.

Purposeful Impact

Creating positive change for our customers, using the most relevant machine learning and analytics approaches and the best technologies to meet real business needs.

Winning with Partners & Friends

Our business has been built on great partnerships and open-source collaboration. It’s one thing to be successful, but to do it in partnership with great people and other great companies is even better in our opinion.

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