Machine Learning Engineer

DELIVEROO
London
5 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer - London

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Get started with your online application

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

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 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

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

3+ 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

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

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.