Machine Learning Engineer II - Growth & Personalisation

Deliveroo; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Equity options

Flexible working

Job summary

Deliveroo in London is seeking a Machine Learning Engineer to join our global engineering team on a hybrid basis, three days in the office. You will work on personalisation, ranking and recommender systems across groceries, retail and restaurant surfaces, building models that influence what users see first.

You’ll write production-grade Python, deploy end-to-end models, and shape notification targeting to boost new vertical adoption.

Qualifications

• Minimum 3+ years of experience as an ML Engineer or Data Scientist.
• Proven ability to write high-quality production code in Python.
• Background in personalisation, ranking, or recommender systems.

Responsibilities

• Build and improve ranking models for vertical landing pages (grocery, retail).
• Design models that blend new-vertical content into a restaurant-focused homepage without disruption.
• Build personalisation models that translate user behaviour into relevant recommendations.
• Contribute to notification targeting to drive adoption of new verticals.

Skills

Python

Productionisation

Personalisation

Ranking

Job description

London, England

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

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?

• 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.

Diversity, Equity and Inclusion

At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.

We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.

If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.

If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!