Machine Learning Engineering Manager

You'll lead cross-functional teams of Machine Learning Engineers and Data Scientists, owning the algorithmic systems that power key delivery experiences. In this role, you will:

• Lead and develop teams working on handover logistics and consumer signals, supporting growth across a mix of MLE and DS roles
• Build and scale models that optimise rider dispatch based on food preparation times, ensuring orders arrive hot and fresh
• Own machine learning systems that communicate network status to consumers, including delivery time estimates and restaurant availability
• Take responsibility for core delivery performance metrics, such as surge requirements, marketplace balance and restaurant ranking adjustments
• Translate complex, real-world delivery problems into production machine learning and optimisation systems
• Partner closely with Product Managers, Software Engineers and Operations teams from problem framing through to deployment and iteration
• Balance experimentation, system reliability and long-term technical quality in a fast moving, high impact environment

You'll manage around 9 individual contributors across two closely related problem spaces, remaining close to the technical work while operating as a people and delivery leader.

Do you have experience in Supply chain?, Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:

• Experience line managing Machine Learning Engineers and Data Scientists, and supporting their technical and career development
• Hands on experience building and deploying machine learning or optimisation systems into production
• Strong background in logistics, optimisation, supply chain or network-based problem spaces
• Experience working in cross-functional product teams with engineers, product managers and operational stakeholders
• Comfort operating in fast changing environments with noisy data, real trade-offs and tight feedback loops
• A pragmatic, impact focused mindset, prioritising outcomes over theoretical perfection
• A classic machine learning background, with focus on logistics or consumer facing systems

At Deliveroo, you'll work on machine learning systems that operate in real time, at global scale, and directly shape how millions of orders move through our network every day. Working here, you can expect: * Ownership of business critical machine learning systems with clear, measurable impact * A strong and supportive data science and machine learning community * Opportunities to grow as a technical leader and people manager * A strong focus on wellbeing and belonging, with benefits that vary by country