Senior Machine Learning Engineer
Role details
Job location
Tech stack
Job description
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:
- 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.
- 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.
Here's what your day to day might look like:
- 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
Do you have experience in Python?, * 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