Senior Machine Learning Engineer - Personalisation

Deliveroo

DATA SCIENCE MANAGER Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation and causal inference. We’re hiring multiple Data Science Managers across different areas of the business. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope, level and team. WHAT YOU’LL BE DOING You’ll own the analytical direction and measurable impact of a product or business area, while leading and developing a high performing team of data scientists or machine learning engineers. Depending on the area you join, you could be: * Building experimentation and causal inference frameworks to improve customer retention, loyalty and subscription growth * Leading pricing, promotions or value strategy, balancing growth, profitability and long term customer trust * Improving discovery, search or personalisation through rapid iteration on high impact algorithms * Driving customer acquisition and engagement across restaurants, retail or new verticals using data-led targeting and incentives Across all roles, you’ll remain hands-on while managing a team. You’ll decide which problems are worth solving and ensure data science work translates into better product and commercial decisions, not just analysis. You'll partner with Product, Engineering, Ops, Marketing and Finance as a thought partner, and set the bar for analytical rigour, prioritisation and impact across noisy metrics, real trade-offs and strong stakeholder opinions. WHAT YOU’LL NEED TO THRIVE Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: * Experience line managing data scientists and supporting their career development * A strong background as a senior individual contributor, with hands-on experience in experimentation, causal inference or applied machine learning * Proven ability to identify high impact opportunities and turn insights into clear strategy and execution * Confidence working with senior stakeholders and explaining complex technical concepts to non-technical audiences * Comfort operating in fast moving, ambiguous environments where prioritisation and judgement matter as much as technical skill WHY JOIN US? At Deliveroo, you’ll work on real world problems at global scale, across a three-sided marketplace that is constantly evolving. We’re food lovers, problem solvers, community organisers and more, united by a shared drive to make things better. Working here, you can expect: * High autonomy to shape strategy and deliver meaningful impact * Support to learn and grow through L&D programmes, mentoring and peer learning * A strong focus on wellbeing, with benefits that vary by country * A place to belong, with a diverse global workforce and active employee communities DIVERSITY, EQUITY AND INCLUSION At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion or belief. If you require adjustments at any stage of the application or interview process, please let us know. We’re committed to ensuring everyone has an equitable opportunity to succeed. Ready to own impact and shape how decisions are made at Deliveroo? Apply today.

Deliveroo

SENIOR MACHINE LEARNING ENGINEER Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our 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. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for several Senior Machine Learning Engineers to join our London teams. WHAT YOU’LL BE DOING 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. Based on the team you join, here's what your role may look like: 1. Ads – building and productionising ranking and bidding models that decide which sponsored content to show, balancing advertiser outcomes with a high-quality user experience. 2. New Verticals – developing recommendation and catalogue-quality models that help customers discover the right grocery and retail items while supporting growth and efficiency. 3. Consumer – improving modern recommendation, ranking and search systems that shape how customers discover and choose what to order, driving engagement and long-term growth. 4. Care – building ML and LLM-powered systems that support customer care operations, from understanding intent and sentiment to suggesting fair and consistent resolutions. 5. Merchants – owning and evolving core ML models that support our merchant ecosystem (for example around classification, matching and lead-scoring), and building new models and AI agents that help partners grow their business. Irrespective of the team, you will: * Design and build sophisticated machine learning models to solve fuzzy business problems * Productionise end-to-end ML solutions, moving from initial concept to shipping code that drives measurable impact on our global marketplace. * Collaborate in cross-functional squads alongside software engineers, data scientists, and product managers to build intelligent decision-making machines. * Mentor junior colleagues and contribute to our robust technical review process to maintain high engineering standards. WHAT YOU’LL NEED TO THRIVE Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: * Significant experience applying algorithmic solutions to complex business problems at scale. * Deep understanding of machine learning fundamentals and a proven ability to know when and how to apply them effectively. * Demonstrated ownership of end-to-end model productionisation, with a strong background in software engineering principles. * A bias for simplicity and a focus on achieving tangible business impact over theoretical complexity. * Exceptional programming and statistical skills, with the ability to translate ambiguous objectives into technical reality. WHY JOIN US? 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. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. OUR GLOBAL STRUCTURE 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. DIVERSITY, EQUITY AND INCLUSION 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!

Deliveroo

SENIOR MACHINE LEARNING ENGINEER Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our 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. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Machine Learning Engineer to join our London team. In this role, you’ll help shape the decision-making systems that directly impact customer experience, trust, and fairness at Deliveroo. This role is based in our London office with a hybrid setup, typically 3 days in the office. WHAT YOU’LL BE DOING You’ll be joining the Care team. Care is an area with significant opportunity and real customer impact; you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving, from LLM-powered automation to customer compensation logic. Here’s what your day-to-day might look like: * Own the full ML lifecycle: Lead the design, development, and productionisation of machine learning models used in customer support and high-stakes decision systems. * Architect for reliability: Build robust monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour in real-time. * Collaborate on product strategy: Partner closely with Product Managers to turn ambiguous customer problems into robust, scalable ML solutions. * Drive technical excellence: Provide technical leadership in areas with unclear ownership, setting the gold standard for ML quality, reliability, and maintainability. * Bridge science and engineering: Work with data scientists and engineers across the global organisation to embed models into high-performance, scalable systems. WHAT YOU’LL NEED TO THRIVE Essential * Significant experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python. * Demonstrated ownership of productionising Generative AI workstreams or Agentic AI projects, including a deep understanding of LLMs, transformers, and fine-tuning. * Proven ability to deploy and manage models using modern infrastructure tools such as Docker, Kubernetes, and CircleCI. * Strong foundational knowledge of traditional ML and evaluation techniques, balanced with a bias for simplicity and measurable business impact. * A collaborative mindset with experience mentoring peers and a drive to solve complex, real-world problems at scale. Nice to Have * Experience with evaluation harnesses and frameworks specifically designed for Generative AI. * Familiarity with observability, monitoring, and safety techniques for deployed GenAI systems. * Experience working with strongly typed languages, such as Go. WHY JOIN US? 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. OUR GLOBAL STRUCTURE 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. DIVERSITY, EQUITY AND INCLUSION 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!