Machine Learning Engineering Manager - Personalisation

About the role

Deliveroo, now part of DoorDash, is looking for a Machine Learning Engineering Manager to join its London team on a hybrid basis (3 days a week). You will lead the team responsible for personalisation across the ordering experience, from store page and item selection through cart, upsell, checkout and bundling, making the app feel tailored to each customer.

Key responsibilities

• Lead and develop a team of around 12 Machine Learning Engineers spread across London, Finland and Berlin, fostering technical excellence, ownership and rapid experimentation.
• Own and evolve ranking, recommendation and personalisation systems across ordering surfaces.
• Set the technical vision for the ML ecosystem, balancing product goals with longer-term bets such as agentic approaches and intent-aware experiences.
• Lead the unification of recommendation models across brands (Deliveroo, Wolt and DoorDash) and markets, balancing reusable core models with surface-specific adaptations.
• Partner with Product, Data Science and neighbouring engineering teams to define roadmaps and turn business problems into ML solutions.
• Give technical guidance on modelling, system design and production architecture, and help evolve AI-assisted engineering practices and tooling.
• Drive key marketplace metrics such as conversion and engagement while maintaining long-term technical quality.

Required profile

• Proven experience line-managing ML Engineers, ideally 6 or more direct reports, including coaching engineers and managing a horizontally distributed team across multiple pods or workstreams.
• Experience building and deploying machine learning systems in production at scale, in areas such as recommendations, personalisation, search, ranking or information retrieval.
• Strong stakeholder management across product, engineering and business functions, across multiple teams and geographies.
• A pragmatic, impact-focused mindset that prioritises outcomes and customer experience.

What we offer

• Competitive salary and equity options.
• A low-hierarchy, high-ownership environment with flexible working and continuous learning.