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

Bonus

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

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 behavior
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 productionize models and embed them into scalable systems
Providing technical leadership in areas with unclear ownership, setting best practices for ML quality, reliability, and maintainability

High autonomy to own problem spaces and build ML systems that directly impact customer trust and experience
Support to learn and grow, from mentoring to learning and development programs
A strong focus on wellbeing, with benefits including Headspace, Gympass, and more
A place to belong, with a global workforce and active employee communities