Machine Learning Manager

CV-Library
London
14 months ago
Applications closed

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Machine Learning Engineering Manager

London

About the Role

At 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 experimentation

    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

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.