Machine Learning Engineering Manager

1 week ago


City Of London, United Kingdom Deliveroo Full time

Machine Learning Engineering ManagerAbout the RoleAt Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to run experiments based on these algorithms.ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for both managers and individual contributors.Our ML Engineers come from many disciplines but have excellence in common. Many are formally trained in Machine Learning, many are not.We are looking for a Machine Learning Engineering Manager to join our management team and lead our Search & Relevance team. This team optimises the customer experience algorithmically, mainly through recommendation engines and search & ranking algorithms. The team currently has a mix of MLEs of differing levels of seniority, including mid-level, Senior and Staff.Ideal candidates will:Have experience line-managing machine learning engineers and guiding their career development.Have built and deployed machine learning algorithms to production within product teams.Provide technical guidance and input on the design and implementation of machine learning algorithms.Have experience working with cross-functional teams and managing stakeholders throughout the business, helping them to identify opportunities and build roadmaps.Bring together a group of individuals from many different backgrounds and skill sets to form a cohesive team.Be comfortable working in an extremely fast, constantly changing environment.Have a pragmatic, flexible approach, and most cares about achieving impact[bonus] Knowledge and experience with experimentationWorkplace & BenefitsAt 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.DiversityAt 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. #J-18808-Ljbffr



  • City Of London, United Kingdom Datatonic Full time

    Shape the Future of AI & Data with Us At Datatonic we are Google Clouds premier partner in AI driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning data engineering and analytics on Google Cloud. By partnering with us clients future‑proof their operations unlock actionable insights and...


  • City Of London, United Kingdom Data Science Festival Full time

    Machine Learning EngineerSalary: £55,00 – £60,000Location: London – Hybrid – 2 daysWe are currently looking for a Machine Learning Engineer to join our client’s data team. This is a hands-on role where you’ll design and build robust data pipelines, transform ML prototypes into production-ready systems, and champion MLOps best practices across the...


  • City of London, United Kingdom Omnis Partners Full time

    Machine Learning Engineer - 1 Month Initial Contract 📍 Location: Hybrid 1-2 days per week onsite in London📅 Start: 24th November - 1 month initially but strong chance of extension 💰 Day Rate: Outside IR35 - rate depending on experience. An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education...


  • City Of London, United Kingdom JLA Resourcing Full time

    Overview Role - Machine Learning Engineer Location: Hybrid, 1 day on site in London (with flex) Salary: £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team of 50. Following a period of significant transformation...


  • City of London, United Kingdom Michael Page Full time

    Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking environment. Client Details Machine Learning Engineer This...


  • City of London, United Kingdom JLA Resourcing Full time

    Role - Machine Learning EngineerLocation Hybrid, 1 day on site in London (with flex)Salary - £70,000 to £75,000The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team of 50. Following a period of significant transformation and with a...


  • City of London, United Kingdom Barrington James Full time

    I am partnered with a leading developer and provider of full-stack photonic quantum computing systems. This company focuses on innovative approaches to quantum computing, high performance, and data centre-standard systems for machine learning and generative AI. You will have the opportunity to work in multidisciplinary teams of quantum scientists’,...


  • City Of London, United Kingdom Digital Waffle Full time

    Machine Learning EngineerAn AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market.This is a unique...


  • london (city of london), United Kingdom Omnis Partners Full time

    Machine Learning Engineer - 1 Month Initial Contract Location: Hybrid 1-2 days per week onsite in London Start: 24th November - 1 month initially but strong chance of extension Day Rate: Outside IR35 - rate depending on experience. An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an...


  • City Of London, United Kingdom Digital Waffle Full time

    Machine Learning Engineer An AI-driven start‑up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. These platform transformations turn educational content into smart, personalised learning tools – and the company is already seeing rapid user growth and strong traction in...