Machine Learning Engineer II - Growth & Personalisation

About the role

Deliveroo is looking for a Machine Learning Engineer to join its London office as part of a global DoorDash engineering team, working hybrid (3 days in the office). The role sits within the New Verticals team, which aims to grow monthly active usage outside restaurant ordering (groceries, retail and more) by turning restaurant-only users into multi-vertical users and reactivating dormant users. It focuses on the personalisation and ranking side of that mission, working alongside colleagues across DoorDash, Deliveroo and Wolt.

Key responsibilities

• Build and improve ranking models for vertical landing pages (grocery, retail), deciding what a user sees first on a store page.
• Design models that blend new-vertical content into a homepage built around restaurant ordering, without disrupting the core experience.
• Build personalisation models that turn a user's existing behaviour into recommendations for verticals they have not tried yet.
• Contribute to notification targeting: who gets notified, with what message and when, to drive adoption of new verticals.

Required profile

• Minimum 3+ years of experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python.
• Experience with end-to-end model productionisation.
• A bias towards simplicity, prioritising impact.
• Background in personalisation, ranking or recommender systems; exposure to causal inference or uplift modelling is a genuine plus but not expected.

What we offer

• Competitive salary and equity options.
• A low-hierarchy, high-ownership environment with quick ship, test and improve cycles.
• Flexible working and continuous learning.