Deliveroo

A leading food delivery service is seeking a Senior Machine Learning Engineer for their London office. You'll design and implement machine learning systems for personalized customer experiences, shape product strategy, and provide technical leadership. The ideal candidate has proven expertise in algorithm design, excellent communication skills, and is comfortable working in a hybrid setup. Join a passionate team that prides itself on innovation and making a real impact in a dynamic environment.

A leading food delivery company in London is seeking a Senior Software Engineer specialized in Machine Learning Platform. In this hybrid role, you'll design a centralized ML platform, build infrastructure for training pipelines, and collaborate on MLOps practices. The ideal candidate has strong coding experience in Python and Go, knowledge of ML frameworks like TensorFlow, and expertise in AWS and container management. Join a team dedicated to solving real-world problems in a dynamic marketplace.

Senior Software Engineer - Machine Learning Platform 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 Platform Engineer to join our London (hybrid) team. In this role, you'll help us build a state-of-the art platform that enables our machine learning engineers and data scientists to train, validate, and deploy models at scale. Get to know our Engineering team - what drives us, how we work, and what you can expect. What You'll Be Doing You'll be joining the Machine Learning Platform team. We work on the tooling and best practices that supercharge ML at Deliveroo, ensuring our models can iterate quickly and deploy reliably to production. Here's what your day to day might look like: Design and drive the direction for the centralised machine learning platform that powers all of Deliveroo's business decisions. Build and scale infrastructure for training and deployment pipelines, model serving, and feature stores using tools like Metaflow and Kubernetes. Collaborate with product and platform teams to build standardised tooling capabilities that drive MLOps practices across the entire company. Develop libraries and best practices to make the ML ecosystem more accessible, reliable, and easier to use for our internal engineering partners. Automate and document platform operations, turning complex learnings into repeatable actions and self healing systems. 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 writing high quality code in Python and Go (or a proven ability to master new languages if coming from a strong backend background). Demonstrated ownership of ML infrastructure, including familiarity with modelling frameworks like TensorFlow, Scikit Learn, or PyTorch. Strong Infrastructure as Code skills, ideally with Terraform, and experience managing containerised workloads on AWS (EKS, ECS, or Lambda). Proven ability to collaborate across teams, working with PMs and Data Scientists to translate complex requirements into scalable platform features. Knowledge of distributed services and event streaming, specifically using Kafka for real time data processing. A passion for the ML Platform area, including a keen interest in the evolving landscape of LLMs and MLOps. Why Join Us? At Deliveroo, you'll do work that matters-solving real world problems in a three side 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!

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 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 Senior Machine Learning Engineer to join our London office as part of a Global DoorDash engineering team (working hybrid, 3 days in the office). You'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast-growing New Verticals business, encompassing grocery, convenience, and retail delivery. What You'll Do You'll be joining the New Verticals Personalisation team (Search & Recommendations). This team sits at the heart of how customers discover and shop across grocery, convenience, and retail categories, and is a key driver of the growth of Deliveroo's expanding New Verticals business. Working across the wider DoorDash engineering team, you'll help shape intelligent, consumer-facing experiences that solve real customer problems at scale. This role spans a broad range of cutting edge machine learning challenges, including modern recommendation and ranking systems, real time decisioning as well as GenAI powered experiences. Here's what your day to day might look like: Design and build production grade machine learning and optimisation systems that power Deliveroo's New Verticals search and recommendations at scale. Partner with engineering and product leaders to help shape the product roadmap leveraging ML. Provide technical leadership across multiple product areas, identifying and prioritising opportunities for high impact algorithmic improvements. Mentor junior team members, and lead cross functional pods to generate collective impact across the business. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proven track record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment. Deep expertise in applied ML for Search/NLP/IR/RecSys - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques are a plus. Machine learning background in Python; experience with PyTorch or TensorFlow preferred. Ability to think holistically about business problems, moving beyond technical implementation to influence long term strategy and roadmap. Excellent communication and stakeholder management skills, with the ability to influence both technical and non technical leaders across the global organisation. 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. 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.

A leading food delivery service in London is seeking a Senior Machine Learning Platform Engineer to join the hybrid team. In this role, you will design and build a centralized ML platform that drives business decisions. Ideal candidates should have strong coding skills in Python and Go, familiarity with ML infrastructure, and a keen interest in MLOps. The company values collaboration and offers competitive compensation with equity options.

A leading food delivery company seeks a Staff Security Engineer to enhance IAM and security architecture. You will design scalable identity solutions, drive integrations, and ensure security compliance across cloud environments. This role requires 7+ years of experience in security engineering or software. Strong programming skills and knowledge of IAM protocols like SAML and OAuth are essential. Join us to help shape security operations that serve millions of users worldwide.

Senior Machine Learning Platform 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 are looking for a Senior Machine Learning Platform Engineer to join our London (hybrid) team. In this role you will help us build a state of the art platform that enables our machine learning engineers and data scientists to train, validate, and deploy models at scale. What You'll Be Doing You'll be joining the Machine Learning Platform team. We work on the tooling and best practices that supercharge ML at Deliveroo, ensuring our models can iterate quickly and deploy reliably to production. Here's what your day to day might look like: Design and drive the direction for the centralised machine learning platform that powers all of Deliveroo's business decisions. Build and scale infrastructure for training and deployment pipelines, model serving, and feature stores using tools like Metaflow and Kubernetes. Collaborate with product and platform teams to build standardised tooling capabilities that drive MLOps practices across the entire company. Develop libraries and best practices to make the ML ecosystem more accessible, reliable, and easier to use for our internal engineering partners. Automate and document platform operations, turning complex learnings into repeatable actions and self healing systems. 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 writing high quality code in Python and Go (or a proven ability to master new languages if coming from a strong backend background). Demonstrated ownership of ML infrastructure, including familiarity with modelling frameworks like TensorFlow, Scikit Learn, or PyTorch. Strong Infrastructure as Code skills, ideally with Terraform, and experience managing containerised workloads on AWS (EKS, ECS, or Lambda). Proven ability to collaborate across teams, working with PMs and Data Scientists to translate complex requirements into scalable platform features. Knowledge of distributed services and event streaming, specifically using Kafka for real time data processing. A passion for the ML Platform area, including a keen interest in the evolving landscape of LLMs and MLOps. Why Join Us? 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. 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.

Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. About the role We are looking for a Staff Security Engineer (L6) with deep expertise in Identity & Access Management (IAM) to help design, build, and evolve our identity, authentication, and access control capabilities across the organisation. This is a hands on senior engineering role within Corporate Security Engineering. You will act as a technical leader across IAM and broader security engineering initiatives - designing scalable identity systems, building secure by default access controls, and developing internal integrations and automation that materially improve our risk posture. You will combine strong security engineering capability with deep IAM domain knowledge, influencing architectural decisions, mentoring engineers, and partnering with stakeholders across engineering, IT, compliance, and product teams. What you'll be doing: Identity & Access Architecture Own and evolve Deliveroo's IAM architecture across identity providers (e.g., Okta, Azure AD, Google Cloud Identity), identity governance (e.g., ConductorOne, SailPoint IdentityNow), and cloud IAM (AWS/GCP). Design scalable solutions for authentication, authorisation, provisioning, deprovisioning, RBAC/ABAC, JIT access, and privileged access management. Drive improvements to access governance processes including certifications, SoD controls, and policy enforcement. Lead implementations and technical integrations between domains, ensuring engineering core principles are adhered to. Develop "Paved Roads" for stakeholders enforcing IAM best good practices to teams. Security Engineering Deliveroo's strategy is to leverage best-in-class security and IAM tooling wherever possible. In this role, you will maximise the value of those platforms by designing and building the custom integrations, middleware, and complementary automation that surround them. This includes: Developing bespoke integrations between IAM platforms and internal systems to ensure seamless lifecycle management and access governance. Building middleware solutions to address edge cases (e.g. automated group creation where authoritative HR data does not exist). Designing and implementing self service RBAC capabilities that enable business teams to manage roles within defined guardrails. Creating automation layers that enhance ROI from commercial tooling by reducing manual effort and embedding controls into engineering workflows. Extending off the shelf platforms with APIs, event driven services, and workflow orchestration to meet Deliveroo's scale and complexity. You will focus on ensuring our purchased tooling is deeply integrated, automated, and aligned with our broader security architecture. Automation & Integration Build scalable automation across IAM services using modern programming languages (e.g., Go, Java, Python, JavaScript). Develop and maintain integrations using REST APIs, SCIM, webhooks, and event driven architectures. Embed IAM controls into CI/CD pipelines and infrastructure as code environments. Improve reliability and reduce manual operational burden through engineering led solutions. Cloud & Platform Security Work across AWS, GCP, or Azure environments to ensure IAM and security architecture aligns with cloud native best practices. Design and review IAM roles, policies, and trust boundaries in cloud environments. Support Zero Trust and secure by default principles across infrastructure and application layers. Technical Leadership & Influence Act as a subject matter expert in IAM across the organisation. Mentor and support engineers in secure design, IAM protocols, and security engineering practices. Partner with Security GRC, IT, and Engineering leadership to balance risk reduction with developer experience. Influence adoption of best practices across authentication, authorisation, and access governance. Requirements: 7+ years of experience in software or security engineering, with significant hands on technical depth. Strong experience in at least one modern programming language (Go, Java, Scala, Python, or similar). Proven experience designing and operating IAM systems in a cloud first environment. Deep understanding of authentication and authorisation protocols: SAML OAuth2 / OIDC SCIM MFA and modern identity assurance methods Experience with identity providers and directories such as Okta, Azure AD, Google Cloud Identity, or Active Directory. Hands on experience with identity governance platforms (e.g., ConductorOne, SailPoint IdentityNow), including lifecycle management, access reviews, and ABAC models. Strong understanding of cloud IAM (AWS IAM, GCP IAM, Azure RBAC). Experience building secure integrations and automation using REST APIs and event driven architectures. Experience leading significant cross team security initiatives. Strong knowledge of RBAC, ABAC, PAM, and Zero Trust architecture principles. Experience working in high growth, cloud native environments. Strong architectural thinking and ability to design resilient, scalable systems. Excellent communication skills with the ability to influence cross functional stakeholders and drive adoption of secure design patterns. Nice to have: Experience implementing or integrating Just in Time (JIT) access or Privileged Access Management tooling. Experience embedding IAM controls into developer workflows (Terraform, CI/CD, GitOps). Experience in regulated environments (SOX, GDPR, PCI). Containerisation and orchestration experience (Docker, Kubernetes). How you'll make an impact: Identity and access systems are scalable, automated, and secure by default. Commercial IAM tooling delivers strong ROI through high quality integrations and automation. Manual access management effort is materially reduced through engineering solutions. IAM controls are deeply integrated into cloud and engineering workflows. Engineers across the company adopt authentication and authorisation best practices. Security posture improves without negatively impacting developer velocity. Why This Role is Exciting: This is an opportunity to shape IAM and security engineering at scale within a global technology company. You will influence foundational systems that protect millions of users, work on high impact security integrations, and help define the long term identity and access strategy. You'll operate at the intersection of security architecture, software engineering, and cloud platform design - solving complex identity challenges while building systems that make secure access seamless across the organisation. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country specific, please ask your recruiter for more information. Diversity 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 judgement 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. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.

An innovative technology company in London is seeking a Machine Learning Engineer to enhance their advertising products. The ideal candidate will have significant experience in Python coding and machine learning fundamentals, focusing on the end-to-end lifecycle of ML models in a hybrid work environment. Collaborating closely with multidisciplinary teams, you will tackle complex problems and drive impactful solutions, contributing to the growth of the organization and its marketplace capabilities.

Machine Learning Engineer - Deliveroo Ads 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 Machine Learning Engineer to join our London team (working hybrid, 3 days in the office). In this role, you'll enable high-quality machine decision-making to maximise ad relevance, performance, and revenue for our global partners. Get to know our Engineering team - what drives us, how we work, and what you can expect. What You'll Be Doing You'll be joining the Ads Machine Learning team. We are a high-impact group responsible for the in-house models powering Deliveroo's advertising products, focusing on ad ranking, automated bidding, and contextual bandit-based personalisation. Here's what your day-to-day might look like: Own the end-to-end lifecycle of machine learning models used in Ads ranking, bidding, and relevance systems, from initial design to productionisation. Build robust infrastructure for monitoring, evaluation, and alerting to detect model drift or performance issues in high-throughput pipelines. Collaborate cross-functionally with Product Managers and Engineers to translate complex advertising challenges into scalable ML solutions. Embed models into low-latency systems by partnering with data scientists and engineers to ensure seamless production integration. Champion technical excellence by following best practices for ML quality, reliability, and maintainability across the team. 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 as an ML Engineer or Data Scientist, with a proven ability to write clean, production-grade Python code. Technical proficiency with modern engineering tools including Git, Docker, Kubernetes, and CI/CD workflows (e.g., CircleCI). Solid understanding of ML fundamentals, including supervised learning, ranking, or recommendation systems. A bias for simplicity, with a demonstrated focus on shipping work that drives measurable business impact. Strong communication skills, with the ability to work effectively in a collaborative, fast-paced team environment. Experience in Ad-Tech or auction-based systems is a plus, but not essential. 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. ️ 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 if you require any reasonable adjustments during the recruitment process, please contact our recruitment team at and we'll be happy to help ensure you have a fair and equitable experience. If you're excited about solving meaningful problems at scale and growing with a supportive team, we'd love to hear from you.

A technology-driven food company in London is seeking an Operations Manager to oversee the performance and stability of their courier network. This role focuses on ensuring strong engagement, sustainable participation, and operational improvements to meet evolving demands. The ideal candidate should have experience in leading operational initiatives, strong analytical skills, and knowledge of SQL. The company offers a hybrid work model, prioritizing employee welfare with competitive benefits.