Machine Learning Engineer - Growth & Personalisation

Posted 2 Days Ago
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London, Greater London, England, GBR
In-Office
Mid level
Food • Logistics • Transportation
The Role
Build and improve ranking, personalization, recommendation, and notification-targeting models that drive adoption of grocery, retail, and other new marketplace verticals. The role involves productionizing end-to-end machine learning systems in Python, optimizing homepage and landing-page experiences, and translating user behavior into relevant recommendations. Candidates should have at least three years of ML engineering or data science experience and backgrounds in personalization, ranking, or recommender systems.
Summary Generated by Built In
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.

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!

Skills Required

  • At least 3 years of experience as a Machine Learning Engineer or Data Scientist
  • Ability to write high-quality production code in Python
  • Experience with end-to-end machine learning model productionization
  • Background in personalization, ranking, or recommender systems
  • Exposure to causal inference or uplift modelling

Deliveroo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Deliveroo and has not been reviewed or approved by Deliveroo.

  • Healthcare Strength Office-based employees receive funded healthcare and wellbeing support, while riders have free on-the-road insurance and 24/7 virtual GP access. These provisions indicate meaningful health protections across both groups, even if details differ by country and role.
  • Parental & Family Support Corporate roles offer enhanced maternity, paternity, adoption and shared parental leave with extended periods at full pay. This depth of family support is highlighted as a core part of the employee package.
  • Leave & Time Off Breadth Corporate employees are offered at least 25 days of annual leave plus bank holidays, with increases over tenure and a paid volunteering day. This structure supports predictable and generous time away from work for office-based staff.

Deliveroo Insights

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The Company
HQ: London
9,074 Employees
Year Founded: 2013

What We Do

Deliveroo is an award-winning delivery service founded in 2013 by William Shu and Greg Orlowski. Deliveroo works with approximately 176,000 best-loved restaurants and grocery partners, as well as around 150,000 riders to provide the best food delivery experience in the world. Deliveroo is headquartered in London, with offices around the globe. Deliveroo operates across 10 markets, including Belgium, France, Hong Kong, Italy, Ireland, Qatar, Singapore, United Arab Emirates, Kuwait and the United Kingdom.

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