National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer

DELIVEROO
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Get started with your online application

Not quite your dream role? Sign up to get notified when the right vacancy comes along.

Senior Machine Learning Engineer

The Data + Science Team

At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams.

We have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things.

The Role

We are hiring several Senior MLE positions in different teams across all sides of our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic.

As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at massive scale. Your team has independence and works at some of the most interesting problems at the intersection of our three-sided marketplace (riders, consumers, and restaurants). We evaluate the performance of all our decision-making machines through our world-class experimentation platform.

Depending on the team you join, you will build intelligent decision-making machines that may:

Optimise our delivery network by making rider assignment decisions; predicting how long a leg of the delivery journey will take; or mitigating real-time delays.

Work out how many riders we need in a particular place at a particular time.

Optimise consumer and rider fees.

Improve the consumer experience by showing the most relevant restaurants and dishes.

Detect fraud and abuse from consumers, riders, and restaurants.

Assist restaurants in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish.

Requirements

5+ years' experience as a ML Engineer or Data Scientist

5+ years' experience in Python

Experience productionising ML models

Experience using tools like Git, Docker, Kubernetes, CircleCI

You know the fundamentals of machine learning and when they should be applied

You can translate an unstructured business problem into a well-thought-out algorithmic solution

You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business

Experience mentoring others in the team

You have a bias to simplicity, where you care most about achieving impact

The Company

Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

Diversity

At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed

A competitive and comprehensive compensation and benefits package

1

Compensation

  • We aim to pay every employee competitively for the role they are performing in their respective location
  • Depending on role and location, some employees may be eligible for an annual cash bonus, sign-on bonus or relocation support
  • Up to 5% matched pension contributions

2Equity

  • Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success

3Food

  • Free Deliveroo Plus: free delivery and access to special offers
  • Team lunches from the best local restaurants

4Time away

  • 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
  • One day of paid leave per year to volunteer with a registered charity

5

  • Funded single cover healthcare on our core plan, with the option to add family members at own cost
  • On-site gym (HQ), discounted external gym membership
  • Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
  • Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments
  • Life assurance

6Work Life

  • Maternity, paternity and maternity and shared parental leave, eligible from day one of employment
  • Excellent kit to enable working from home and a parent-friendly working culture
  • Access to free mortgage advice
  • Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel
  • Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content
  • Regular Employee Resource Group (ERG) led social events – examples include dinners, dance lessons and in-office yoga sessions


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.