Machine Learning Engineer
Role details
Job location
Tech stack
Job description
Get started with your online applicationNot quite your dream role? Sign up to get notified when the right vacancy comes along.Why Deliveroo Deliveroo is a great place to start your career as a Machine Learning Engineer because you'll work on real problems, at real scale, alongside some of the brightest technical minds working in applied machine learning today.We have a brilliant ML community with 50 MLEs based in London alongside a further 200 Data Scientists, Data Analysts and Analytics Engineers. Here, you'll be embedded in a product team, paired with experienced engineers, supported by a strong ML community, and responsible for owning and launching machine learning models in production. To do this, you'll have the support of peers, mentors, and a manager who shares best practices, reviews work, and actively mentors early-career talent. With Deliveroo now a part of DoorDash, you will also become a part of DoorDash's global Engineering org, which will help you to meet even more colleagues around the world.The problems we work on are genuinely complex. We operate a three-sided marketplace, handle large volumes of real-time data, and deploy machine learning models that directly affect how millions of people discover food, place orders, get deliveries, and receive support. Your work will be grounded in real-world constraints and trade-offs, not toy datasets or academic exercises.If you're interested in applied machine learning that ships to production, has measurable impact, and is built collaboratively rather than in isolation, this is a strong place to learn fast.The Role As a Machine Learning Engineer intern at Deliveroo, you'll work on a well-scoped machine learning project within a product or platform team. The goal of the internship is not independent research. It is to help you learn how machine learning systems are designed, built, evaluated, and deployed in a real production environment.Applicants must be authorised to work in the U.K. to be considered for this position.The 2026 internship program will be hosted in person at Deliveroo's London headquarters at Cannon Bridge House, with requirements to be in office 5 days a week. This opportunity will be a 12-24 week summer placement.The Team Depending on the team you join, you might work on:Consumer & Marketplace - Ranking, search, and recommendation systems that decide which restaurants, dishes, grocery and retail items to show; personalisation and pricing models that optimise fees, promotions, and loyalty while balancing growth and profitability.Delivery & Logistics - Real-time decision systems that assign riders to orders, route and schedule deliveries, and predict travel and prep times; forecasting and simulation models that plan demand, rider supply, staffing, and financial performance.Restaurants, Grocery & Retail (New Verticals) - Models that grow and optimise our merchant ecosystem, from catalogue and inventory quality to upsell and cross-sell, helping partners improve menus, pricing, photography, and overall presence on Deliveroo.Advertising & Monetisation - Ad ranking, relevance, bidding, and budget-optimisation models that maximise advertiser performance and marketplace revenue while preserving a great customer experience.Customer Care, Trust & Safety - LLM- and ML-powered systems for customer support automation, sentiment and intent understanding, fair compensation and refund decisions, and fraud and abuse detection.ML & Agentic AI Platforms - Core ML and Agentic AI infrastructure: training, deployment, evaluation, experimentation, and safety tooling used by product teams across Deliveroo to build, monitor, and improve production ML and GenAI systems.What You'll Get Out of This Internship Hands-on experience working on production ML systemsClose mentorship from experienced Machine Learning EngineersExposure to how ML is applied at scale in a fast-moving product environmentThe chance
Requirements
to: own a piece of a defined project and present your work to the teamcontribute and execute on research ideas that can be applied and used to improve product experiencescollect, analyse, and synthesise findings from data and use these insights to build relevant ML modelswrite clean, efficient, and sustainable codeIf the internship goes well, there is the potential for a full-time offer at the conclusion of it.We Expect That You... Are working towards a BSc/MSc/PhD in Computer Science, AI, ML, NLP, Statistics or a related fieldHave a mastery of Python and one ML framework (Tensorflow, Pytorch, MLFlow)Have experience in research and in solving analytical problemsAre a strong communicator and team player.Have a passion for applied MLMust be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and, determining appropriate courses of action within the scope of
Benefits & conditions
assigned responsibilities, Benefits and Diversity At Deliveroo, people are at the heart of what we do. We offer a wide range of benefits across health, wellbeing, learning and development, and financial support.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 judgment 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.A competitive and comprehensive compensation and benefits package1Compensation We aim to pay every employee competitively for the role they are performing in their respective locationDepending on role and location, some employees may be eligible for an annual cash bonus, sign-on bonus or relocation supportUp to 5% matched pension contributions3 Equity Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success4 Food Free Deliveroo Plus: free delivery and access to special offersTeam lunches from the best local restaurants5 Time away 25 days annual leave plus bank holidays, increasing with length of time spent working at DeliverooOne day of paid leave per year to volunteer with a registered charity6 Funded single cover healthcare on our core plan, with the option to add family members at own costOn-site gym (HQ), discounted external gym membershipAccess to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPassDiscounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessmentsLife assuranceWork Life Maternity, paternity and maternity and shared parental leave, eligible from day one of employmentExcellent kit to enable working from home and a parent-friendly working cultureAccess to free mortgage adviceCycle to Work Scheme or Season Ticket Loans, depending how you wish to travelExcellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and contentRegular Employee Resource Group (ERG) led social events - examples include dinners, dance lessons and in-office yoga sessions, £100,000
Machine Learning Engineer (PyTorch LLM) London onsite to £110k Do you have expertise with Machine Learning in production? You could be progressing your career at a London based tech start-up with £5 million in recent pre-seed funding, in an impactful role that you'll..., Job Description Machine Learning Engineer, London (5 days a month in office), £90,000 - £120,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and..., Job Description Senior Machine Learning/AI Engineer - £100,000-£125,000 - Hybrid working model: three days per week in the office (Monday, Tuesday, plus one flexible day) LDN - 27 days of annual leave plus 8 bank holidays and 5 additional days, including life event,...