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Senior Machine Learning Engineer

deliveroo.co.uk Logo

DELIVER

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our engineering and product teams tackle some of the most exciting challenges in tech, building systems that impact millions daily. We’re looking for a Senior Machine Learning Engineer to join our Care team. In this role, you’ll help shape the decision making systems that directly impact customer experience, trust, and fairness at Deliveroo. Care is an area with significant opportunity and real customer impact. This is a new headcount role where you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving. Your work will span two equally impactful areas: 1) LLM powered customer support and automation. You’ll help build and evolve machine learning systems that understand customer sentiment and tone of voice, supporting a customer support chatbot powered by large language models. A key part of this work is ensuring quality, reliability, and trust in production ML systems. 2) Customer compensation and refund decisions. You’ll design and build machine learning models from the ground up to move beyond static rules and heuristics. These models will determine fair and consistent compensation outcomes across a wide range of customer scenarios, balancing customer satisfaction, cost, and long term trust.

Job Responsibility:

  • Owning the design, development, and productionisation of machine learning models used in customer support and decision making systems
  • Building monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour
  • Partnering closely with Product Managers, including teams working on decision platforms and customer experience, to turn ambiguous problems into robust ML solutions
  • Working with data scientists and engineers across Deliveroo to productionise models and embed them into scalable systems
  • Providing technical leadership in areas with unclear ownership, setting best practices for ML quality, reliability, and maintainability

Requirements:

  • 5+ years' experience as an ML Engineer or Data Scientist
  • 5+ years' experience writing production code in Python
  • Experience using tools like Git, Docker, Kubernetes, CircleCI
  • Experience productionising Generative AI workstreams or Agentic AI projects
  • You know the fundamentals of Generative AI and have a good understanding of the science behind it, including LLMs, VLMs, transformers and fine-tuning techniques.
  • A robust understanding of traditional ML and evaluation techniques, and a good understanding of the research and developments around Generative AI evaluation techniques.
  • You get satisfaction from seeing your work shipped and driving measurable impact to the business
  • Experience mentoring others in the team.
  • You have a bias to simplicity, where you care most about achieving impact

Nice to have:

  • Experience with evaluation harnesses and frameworks for Generative AI
  • Experience with observability, monitoring, and safety techniques for deployed GenAI systems
  • Experience in strongly typed languages such as Go
What we offer:
  • A competitive and comprehensive compensation and benefits package
  • Up to 5% matched pension contributions
  • Some roles may be eligible for share awards
  • Free Deliveroo Plus: free delivery and access to special offers
  • Team lunches from the best local restaurants
  • 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
  • One day of paid leave per year to volunteer with a registered charity
  • Funded single cover healthcare on our core plan, with the option to add family members at own cost
  • On-site gym (HQ), discounted external gym membership
  • Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
  • Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments
  • Life assurance
  • Maternity, paternity and maternity and shared parental leave, eligible from day one of employment
  • Excellent kit to enable working from home and a parent-friendly working culture
  • Access to free mortgage advice
  • Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel
  • Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content
  • Regular Employee Resource Group (ERG) led social events – examples include dinners, dance lessons and in-office yoga sessions
  • Summer and end-of-year parties

Additional Information:

Job Posted:
January 18, 2026

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