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Join Deliveroo's Global Engineering team as a Machine Learning Engineer focused on growth and personalisation. You'll work on the New Verticals team, which expands monthly active usage beyond restaurant ordering into groceries, retail, and other categories. Your mission: convert single-use customers into multi-vertical users and reactivate dormant accounts.
You'll own the machine learning systems that power discovery surfaces—homepage personalization, vertical landing pages, and notification targeting. Specifically, you'll build and improve ranking models for vertical landing pages (grocery, retail) that determine what users see first when browsing a store. You'll design models that seamlessly blend new-vertical content into a restaurant-focused homepage without disrupting the core experience. You'll develop personalization models that translate existing user behavior into relevant recommendations for untried verticals. You'll also contribute to notification targeting strategies—determining who gets notified, with what message, and when—to drive adoption of new verticals.
You'll work hybrid (3 days in office) in the London office as part of a global team spanning DoorDash, Deliveroo, and Wolt. The role emphasizes end-to-end model productionization, high-quality Python code, and a bias toward simplicity and measurable impact. Experience with personalization, ranking, or recommender systems is expected; causal inference or uplift modeling experience is a plus. You'll operate in a low-hierarchy, high-ownership environment where you can ship, test, and iterate quickly on real-world problems affecting millions of users daily.
