RefolkCandidates

Senior Machine Learning Engineer - Growth & Personalisation

Deliveroo · London - The River Building HQ

Location
London - The River Building HQ
Employment
Full time
Level
Senior
Posted
Today
Data and MLAll Cost CentersMachine Learning
Tailor my resume to this role

About a minute 500 free credits No card

  1. I read this posting
  2. Rewrite your resume against it
  3. Draft the cover letter, score the fit

Prefer Deliveroo’s own form? Open the original posting

About this role

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!

As published by Deliveroo. Applications are handled on their site.

One click, then it is written

Apply to Deliveroo with a resume written for this role.

Queue Senior Machine Learning Engineer - Growth & Personalisation and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Deliveroo’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 500 free credits
  • No card
  • Nothing sent until you say so

More roles at Deliveroo

See all

Similar roles elsewhere

See more

Put this to work

Paste your career in once. Every application after that is written for you.

Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

Listed from the job board Deliveroo publishes. Refolk is not the employer and does not handle their hiring. Applications go to Deliveroo directly.