Machine Learning Engineer

MACHINE LEARNING ENGINEER – DELIVEROO ADS

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our 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.

From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.

We’re looking for a Machine Learning Engineer to join our London team (working hybrid, 3 days in the office). In this role, you’ll enable high-quality machine decision-making to maximise ad relevance, performance, and revenue for our global partners.

WHAT YOU’LL BE DOING

You’ll be joining the Ads Machine Learning team. We are a high-impact group responsible for the in-house models powering Deliveroo's advertising products, focusing on ad ranking, automated bidding, and contextual bandit-based personalisation.

Here’s what your day-to-day might look like:

• Own the end-to-end lifecycle of machine learning models used in Ads ranking, bidding, and relevance systems, from initial design to productionisation.

• Build robust infrastructure for monitoring, evaluation, and alerting to detect model drift or performance issues in high-throughput pipelines.

• Collaborate cross-functionally with Product Managers and Engineers to translate complex advertising challenges into scalable ML solutions.

• Embed models into low-latency systems by partnering with data scientists and engineers to ensure seamless production integration.

• Champion technical excellence by following best practices for ML quality, reliability, and maintainability across the team.

WHAT YOU’LL NEED TO THRIVE

Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:

• Significant experience as an ML Engineer or Data Scientist, with a proven ability to write clean, production-grade Python code.

• Technical proficiency with modern engineering tools including Git, Docker, Kubernetes, and CI/CD workflows (e.g., CircleCI).

• Solid understanding of ML fundamentals, including supervised learning, ranking, or recommendation systems.

• A bias for simplicity, with a demonstrated focus on shipping work that drives measurable business impact.

• Strong communication skills, with the ability to work effectively in a collaborative, fast-paced team environment.

• Experience in Ad-Tech or auction-based systems is a plus, but not essential.

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.

➡️ Want a deeper look at how we build? Check out our Tech Blog https://deliveroo.engineering.

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!