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Machine Learning Engineer - Delivery (Routing/ETA) Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex …
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London, England, United Kingdom · Hybrid
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Design and improve machine learning models for ETA and delivery-time prediction to optimize rider allocation. Collaborate with cross-functional teams to productionize end-to-end ML solutions that drive measurable impact across the marketplace.
Requires at least 3 years of experience as an ML Engineer or Data Scientist with proficiency in Python and production-level code. Candidates must have a strong understanding of machine learning fundamentals and experience applying predictive models to complex business problems.
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global 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.
We’re looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office).
In this role, you’ll help us develop the algorithmic and machine-learning systems that power Deliveroo, making automated decisions at massive scale across our three-sided marketplace.
You’ll be working on delivery-time prediction, owning the models that power the ETA a customer sees and the ETA-related signals used by our dispatcher when automatically allocating riders to orders.
You will:
Design and improve ETA and delivery-time prediction models that power the consumer-facing experience across Deliveroo.
Build models used by our dispatcher, helping inform the automatic allocation of riders to orders.
Improve prediction quality and reliability across different markets, order types and delivery conditions.
Productionise end-to-end ML solutions, moving from initial concept to shipping code that drives measurable impact across our marketplace.
Collaborate in cross-functional squads alongside software engineers, data scientists and product managers to improve how delivery-time predictions are used across the platform.
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Minimum 3+ years of experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python
Experience applying machine learning and algorithmic solutions to complex business problems in production.
Strong understanding of machine learning fundamentals and the ability to select and apply appropriate modelling techniques.
Experience building predictive models, particularly around forecasting, time estimation or other real-time decision-making problems.
Experience taking models through to production, with a solid grounding in software engineering principles.
A bias for simplicity and a focus on achieving tangible business impact over theoretical complexity.
Strong programming and statistical skills, with the ability to translate ambiguous business problems into practical technical solutions.
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.
💰 Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our Tech Blog.
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.
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!
We're transforming the way you shop and eat, bringing the neighbourhood to your door.
Deliveroo is an award-winning delivery service founded in 2013 by William Shu and Greg Orlowski. Deliveroo works with approximately 176,000 best-loved restaurants and grocery partners, as well as around 150,000 riders to provide the best food delivery experience in the world. Deliveroo is headquartered in London, with offices around the globe. Deliveroo operates across 9 markets, including Belgium, France, Italy, Ireland, Qatar, Singapore, United Arab Emirates, Kuwait and the United Kingdom.
Offices: 1 Cousin Lane, The River Building, London, England EC4R 3TE, GB · 1 bis Avenue de la République, Paris, Île-de-France 75011, FR
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