Senior Machine Learning Engineer - Growth & Personalisation

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.

We're looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office).

Our New Verticals team exists to grow monthly active usage outside of restaurant ordering — groceries, retail, and everything in between. That means turning someone who only orders restaurant food into someone who also uses the app for a grocery run, and turning dormant users into active ones. You'll work on the surfaces that make that happen: the homepage, vertical landing pages, and the notifications that bring people back. This role sits closer to the personalisation and ranking side of that mission, working alongside colleagues across DoorDash, Deliveroo and Wolt.

What You'll Be Doing

• Build and improve ranking models for vertical landing pages (grocery, retail), deciding what a user sees first when they land 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 translate a user's existing behaviour into relevant recommendations for verticals they haven't tried yet
• Contribute to notification targeting — who gets notified, with what message, and when, to drive adoption of new verticals

What You'll Need to Thrive

• 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 to simplicity, where you care most about achieving impact
• Background in personalisation, ranking, or recommender systems; exposure to causal inference or uplift modelling is a genuine plus but not expected

Why Join Us?

At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:

🔧 Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.

🌱 See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.

🧠 Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.

🌎 A culture built for builders
High standards, collaboration, flexible working and continuous learning.

💰 Share in the success you help create
Competitive salary and equity options, so you're rewarded for the impact you make.

➡️ Want a deeper look at how we build? Check out our Tech Blog.

USA: Pay Transparency Range: 167800.0 - 246800.0 USD
Canada: Pay Transparency Range: 157000.0 - 196500.0 CAD