Senior Machine Learning Engineer

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

What You'll Be Doing

• 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

Perks and Benefits

• 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