Senior Machine Learning Engineer - Growth & Personalisation

Deliveroo
London, United Kingdom
On-site

Who this role is best for

A natural match if you have experience in personalisation and ranking systems within a three-sided marketplace. This role is based in London and involves hybrid work with a 3-day in-office requirement, suggesting a preference for candidates who can balance remote and on-site work.

Best fit for

  • Candidates with a background in personalisation and ranking systems in marketplace environments
    — “Background in personalisation, ranking, or recommender systems
  • Individuals who have successfully productionised ML models in prior roles
    — “Experience with end-to-end model productionisation

Things to consider

  • Hybrid work arrangement requires 3 days in-office per week at the London HQ
    — “working hybrid, 3 days in the office
  • Collaboration spans multiple teams across DoorDash, Deliveroo, and Wolt
    — “working alongside colleagues across DoorDash, Deliveroo and Wolt

How to stand out

  • Highlight your experience with blending new content into existing user experiences
    — “Design models that blend new-vertical content into a homepage built around restaurant ordering
  • Showcase your ability to build and improve ranking models for diverse content types
    — “Build and improve ranking models for vertical landing pages
  • Emphasize your skills in translating user behavior into actionable recommendations
    — “Build personalisation models that translate a user's existing behaviour into relevant recommendations
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improved user engagement through personalisation
  • successful integration of new verticals
Typical background
5+ years of experience in machine learningbackground in personalisation and ranking systems

Skills & requirements

Required

Machine LearningRanking ModelsPersonalisation ModelsNotification TargetingPython

Preferred

Causal InferenceUplift Modelling

Stack & domain

PythonPersonalisationRankingRecommender Systems

About the role

Original posting from Deliveroo via Ashby

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 Senior 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 5+ 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.

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.

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!

Source: Deliveroo careers (Ashby)

Similar roles