Machine Learning Engineer
Machine Learning Engineer

Machine Learning Engineer

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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Deliveroo

At a Glance

  • Tasks: Join our Ads Machine Learning team to build and optimise ML models for ad relevance and performance.
  • Company: Deliveroo, a leading food delivery service transforming shopping and eating experiences.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact in a fast-paced environment while solving complex challenges.
  • Qualifications: Experience in ML engineering or data science with strong Python skills.
  • Other info: Collaborative culture focused on diversity, equity, and inclusion.

The predicted salary is between 28800 - 48000 £ per year.

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.

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.
  • 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

  • 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?

  • 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.

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’re excited about solving meaningful problems at scale and growing with a supportive team, we’d love to hear from you.

Machine Learning Engineer employer: Deliveroo

Deliveroo is an exceptional employer that fosters a culture of innovation and collaboration, where employees are empowered to tackle meaningful challenges in a dynamic three-sided marketplace. With a strong focus on personal growth, you will have the opportunity to work on impactful projects while enjoying a flexible hybrid working environment in London. Join us to be part of a diverse team that values your contributions and supports your career development in a fast-paced, high-ownership setting.
Deliveroo

Contact Detail:

Deliveroo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer

✨Tip Number 1

Network like a pro! Reach out to current or former Deliveroo employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by diving deep into machine learning concepts relevant to the role. Brush up on ad ranking and automated bidding systems, and be ready to discuss how you can apply your skills to real-world problems at Deliveroo.

✨Tip Number 3

Showcase your projects! If you've built any ML models or worked on relevant tech, make sure to highlight these during your interview. Real examples of your work can set you apart from other candidates.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.

We think you need these skills to ace Machine Learning Engineer

Machine Learning
Python
Git
Docker
Kubernetes
CI/CD Workflows
Supervised Learning
Ad Ranking
Recommendation Systems
Model Productionisation
Monitoring and Evaluation
Collaboration
Problem-Solving
Technical Excellence

Some tips for your application 🫡

Show Your Passion for Machine Learning: When writing your application, let us see your enthusiasm for machine learning! Share any projects or experiences that highlight your skills and how they relate to the role. We love seeing candidates who are genuinely excited about the field.

Tailor Your Application: Make sure to customise your application to reflect the specific requirements of the Machine Learning Engineer position. Highlight your experience with Python, Git, and any relevant ML projects. This helps us see how you fit into our team!

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate candidates who can communicate effectively, especially in a fast-paced environment like ours.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Deliveroo

✨Know Your ML Fundamentals

Brush up on your machine learning fundamentals, especially supervised learning and ranking systems. Be ready to discuss how these concepts apply to real-world scenarios, particularly in ad-tech, as this will show your understanding of the role's requirements.

✨Showcase Your Coding Skills

Prepare to demonstrate your Python coding skills during the interview. Bring examples of clean, production-grade code you've written, and be ready to explain your thought process behind it. Familiarity with tools like Git and Docker will also be a plus!

✨Understand the Business Impact

Be prepared to discuss how your work can drive measurable business impact. Think about past projects where your ML solutions led to significant improvements and be ready to share those stories. This will highlight your bias for simplicity and effectiveness.

✨Collaborate and Communicate

Since the role involves cross-functional collaboration, practice articulating your ideas clearly. Prepare to discuss how you’ve worked with product managers and engineers in the past to solve complex problems, showcasing your strong communication skills.

Machine Learning Engineer
Deliveroo
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