{"id":2527723,"url":"https://alion.io/job/deliveroo-senior-machine-learning-engineer-recommendations","title":"Senior Machine Learning Engineer - Recommendations","company":{"id":1872590,"name":"Deliveroo","domain":"deliveroo.com","url":"https://alion.io/company/deliveroo-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":180000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-10-07T13:29:52Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T14:02:33Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Our Global Structure\nDeliveroo 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.\nJoin 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.\nWe'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).\nThis 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.\nWhat You'll Be Doing\nDesign, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers.\nOwn applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance.\nDevelop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent.\nCollaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products.\nEvaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency.\nContribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation.\nWhat You'll Need to Thrive\nYou 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.\nYou have experience with recommendation systems, ranking, retrieval, personalisation, or closely related ML problems.\nYou 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.\nYou are proficient in Python and experienced with modern ML frameworks and large-scale data processing.\nYou understand how to evaluate ML systems rigorously, including offline metrics, experiment design and interpreting online results.\nYou communicate complex technical ideas clearly and work effectively with cross-functional partners.\nWhy Join Us?\nAt 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:\nSolve meaningful problems at real scale\nWork on a complex, always-on marketplace that impacts millions every day.\nSee your impact, fast\nShip, test and improve ideas quickly in a low-hierarchy, high-ownership environment.\nGrow through challenge and ownership\nTake on big, ambiguous problems and accelerate your career with strong support.\nA culture built for builders\nHigh standards, collaboration, flexible working and continuous learning.\nShare in the success you help create\nCompetitive salary and equity options, so you're rewarded for the impact you make.\nWant a deeper look at how we build? Check out our Tech Blog.\nDiversity, Equity and Inclusion\nAt 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.\nWe 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.\nIf 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.\nIf 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!\n\nBeware 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 careersatdoordash.com/recruitment-scam-awareness.","description_format":"text","description_chars":5130,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Flexible schedule"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T12:25:04Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.857,"p_room":1,"age_days":7,"expected_fill_days":28,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/deliveroo-senior-machine-learning-engineer-recommendations","json_url":"https://alion.io/job/deliveroo-senior-machine-learning-engineer-recommendations.json","meta":{"generated_at":"2026-10-15T14:26:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22045,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1872590},"rest":"https://alion.io/mcp/rest/get_company?id=1872590"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeliveroo-senior-machine-learning-engineer-recommendations"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdeliveroo-senior-machine-learning-engineer-recommendations"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdeliveroo-senior-machine-learning-engineer-recommendations"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/deliveroo-senior-machine-learning-engineer-recommendations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeliveroo-senior-machine-learning-engineer-recommendations"}]}