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Senior Machine Learning Engineer - Recommendations

Deliveroo · London · Posted 3 weeks ago

Job Description

<div class="content-intro"><p><strong>Our Global Structure</strong></p> <p><br>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.</p></div><p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office).</span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You’ll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience.</span></p> <h2><span style="font-size: 14pt; font-family: helvetica, arial, sans-serif;"><strong>What You'll Be Doing</strong></span></h2> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Collaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation.</span></li> </ul> <h2><span style="font-size: 14pt;"><strong>What You'll Need to Thrive</strong></span></h2> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">You have substantial hands-on experience applying machine learning to real-world problems and a track record of bringing models from development into production; a PhD with relevant applied research experience is equally welcome.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">You have experience with recommendation systems, ranking, retrieval, personalisation, or closely related ML problems.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">You can independently turn an ambiguous customer or product problem into a well-scoped ML approach, make sound trade-offs and drive it to a measurable outcome.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">You are proficient in Python and experienced with modern ML frameworks and large-scale data processing.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">You understand how to evaluate ML systems rigorously, including offline metrics, experiment design and interpreting online results.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">You communicate complex technical ideas clearly and work effectively with cross-functional partners.</span></li> </ul> <h2><span style="font-size: 14pt; font-family: helvetica, arial, sans-serif;"><strong>Why Join Us?</strong></span></h2> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">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:</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">🔧 Solve meaningful problems at real scale</span><br><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Work on a complex, always-on marketplace that impacts millions every day.</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">🌱 See your impact, fast</span><br><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">🧠 Grow through challenge and ownership</span><br><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Take on big, ambiguous problems and accelerate your career with strong support.</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">🌎 A culture built for builders</span><br><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">High standards, collaboration, flexible working and continuous learning.</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">💰 Share in the success you help create</span><br><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Competitive salary and equity options, so you're rewarded for the impact you make.</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">➡️ Want a deeper look at how we build? Check out our Tech Blog.</span></p><div class="content-conclusion"><p><strong>Diversity, Equity and Inclusion</strong><br><br>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.</p> <p>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.</p> <p>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.</p> <p>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!</p> <p><em data-renderer-mark="true"><br>Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at</em> <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _2rkolb4i _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" href="http://careersatdoordash.com/recruitment-scam-awareness" data-renderer-mark="true" data-is-router-link="false" data-testid="link-with-safety"><em data-renderer-mark="true">careersatdoordash.com/recruitment-scam-awareness</em></a><em data-renderer-mark="true">.</em></p></div>

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Job Details

Type

Full-time

Location

London

Posted

08 Oct 2026

Views

31

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