--- title: 'Senior Machine Learning Engineer at Datatonic' canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-datatonic-london-ca49jt4yctqm' type: 'job' last_seen: '2026-09-05' --- # Senior Machine Learning Engineer at Datatonic - **Company:** Datatonic - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-03 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.ashbyhq.com/datatonic/74e0867e-e674-49db-b268-8fcf9a4cce13 ## Job description SHAPE THE FUTURE OF AI & DATA WITH US At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. ## YOUR MISSION As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes. Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud. ## WHAT YOU’LL DO - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems. - Data Science: Conduct ML experiments using programming languages with machine learning libraries. - GenAI: Leverage generative AI to develop innovative solutions. - Optimisation: Optimise machine learning solutions for performance and scalability. - Custom Code: Implement tailored machine learning code to meet specific needs. - Data Engineering: Ensure efficient data flow between databases and backend systems. - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services. - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions. ## WHAT YOU’LL BRING - Experience: 4+ years as a Machine Learning Engineer, preferably with a consulting background. - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines. - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure. - Software Engineering: Hands-on experience with foundational software engineering practices. - Database Proficiency: Strong knowledge of SQL for querying and managing data. - Scalability: Experience scaling computations using GPUs or distributed computing systems. - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python). - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts. ## BONUS POINTS IF YOU HAVE: - Scale-up experience. - Cloud certifications (Google CDL, AWS Solution Architect, etc.). WHAT’S IN IT FOR YOU? We believe in empowering our team to thrive, with benefits including: - Holiday:  25 days plus bank holidays (obviously!) - Health Perks: Private health insurance (Vitality Health) and Smart Health Services - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). - Hybrid Model: A WFH allowance to keep you comfortable. - 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. ## About Datatonic ## Company Overview - **One-liner**: Datatonic is the leading cloud data and AI consultancy that helps ambitious businesses drive impact through cutting-edge data, analytics, and generative AI technologies. - **Entity Type**: Private (Bootstrapped/Organically Grown) - **Headquarters**: London, United Kingdom - **Founded**: 2013 - **Founders**: Louis Decuypere (Founder + Chairman of the Board) ## Core Business - **Primary Industry**: Cloud Data & AI Consulting / Professional Services - **Target Customers**: Enterprise and mid-market businesses across industries, primarily those using or migrating to Google Cloud - **Mission/Purpose**: To sustain a position at the leading edge of data technology by stimulating a culture of constant innovation and delivering service with spectacular agility and accuracy. ## Products & Services - **Cloud Data Migration**: Consulting and execution to move enterprise data workloads to Google Cloud. - **Generative AI**: Development and deployment of custom GenAI solutions, leveraging Google Cloud's AI/ML ecosystem. - **Marketing Analytics**: Advanced analytics solutions to drive marketing performance and ROI. - **Data Engineering & Architecture**: Design and implementation of scalable, modern data platforms. ## Market Standing - **Valuation/Market Cap**: Not publicly available (Private company). - **Key Metric**: 197 total employees (as of latest data), with 24 open vacancies. - **Notable Investors/Partners**: Datatonic is a 12x Google Cloud Partner of the Year Award winner, including being named Google Cloud's 2026 Country – UK/IE and Training, EMEA Partner of the Year. - **Growth Signals**: The company has expanded from a single office to multiple locations across Europe and North America (London, Stockholm, Gothenburg, Nyon, Munich, Zagreb, Toronto), indicating strong international growth. They are actively hiring across multiple technical and commercial roles. ## Competitive Advantages - **Deep Google Cloud Specialization**: As a 12x Google Cloud Partner of the Year, they have unmatched expertise and credibility within the Google Cloud ecosystem. - **End-to-End Capability**: They cover the full lifecycle from cloud migration to advanced AI, offering a single partner for complex data transformations. - **Culture of Innovation**: Their stated commitment to "constant innovation" and "spectacular agility" differentiates them from larger, slower consultancies. - **Greentonic Initiative**: A dedicated sustainability and climate tech innovation arm, which is a unique differentiator for attracting talent and clients focused on ESG. ## Strategic Focus - **Geographic Expansion**: Continued growth into new markets, with recent offices in Canada and continental Europe. - **AI Leadership**: Doubling down on Generative AI as a core service offering, moving beyond traditional data analytics. - **Talent Acquisition**: Aggressively hiring for senior technical roles (Lead ML Engineer, Principal Data Architect) to scale their delivery capacity. ## Why Work Here - **Culture**: Emphasizes transparency, equity, respect, and belonging. Core values include "Make an Impact," "Cultivate Excellence," and "Power of Us." - **Work Policy**: Flexible hybrid model (2-3 days per week in the office encouraged), with remote options available for some roles. Technical roles typically work from the office or home, not at client sites. - **Benefits**: Private healthcare including mental health support and counselling, life insurance, and income protection policies. - **Engineering Culture**: Projects are varied and typically last 3-6 months, offering exposure to different industries and challenges. They explicitly welcome applicants without prior Google Cloud experience if they have other cloud backgrounds. - **Visa Sponsorship**: Offered for candidates willing to relocate to the UK. Not currently offered for other locations. - **Hiring Process**: Typically 2-3 weeks from screening to offer. Feedback provided within 2-3 working days post-interview. ## Sources 1. [datatonic.com](https://datatonic.com/) 2. [datatonic.com - About](https://datatonic.com/about/) 3. [datatonic.com - Careers](https://datatonic.com/careers/) 4. 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