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DeliverooMachine Learning Engineering Manager - Personalisation
Deliveroo, which is now part of DoorDash, seeks a Machine Learning Engineering Manager - Personalisation to work in London on a hybrid basis, coming into the…
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About This Role
Deliveroo, which is now part of DoorDash, seeks a Machine Learning Engineering Manager - Personalisation to work in London on a hybrid basis, coming into the office three days per week. This position sits within an engineering organization tackling technical obstacles across a global, three-sided marketplace serving millions of users daily. In this capacity, the manager will lead approximately twelve Machine Learning Engineers organized across multiple pods situated in London,…
Job Description
Deliveroo, which is now part of DoorDash, seeks a Machine Learning Engineering Manager - Personalisation to work in London on a hybrid basis, coming into the office three days per week. This position sits within an engineering organization tackling technical obstacles across a global, three-sided marketplace serving millions of users daily.
In this capacity, the manager will lead approximately twelve Machine Learning Engineers organized across multiple pods situated in London, Berlin, and Finland. The individual will oversee ranking, recommendation, and personalisation systems spanning the ordering journey, from item selection and store pages through checkout and bundling. The group aims to make the application experience intuitive and tailored to individual user intent.
The role requires establishing the technical vision for the machine learning ecosystem, unifying recommendation models across the Deliveroo, Wolt, and DoorDash brands, and collaborating closely with Product, Data Science, and peer engineering teams. Qualified candidates will possess direct line-management experience over machine learning engineers and a background in deploying machine learning systems at scale within areas like recommendations, search, or information retrieval.
Responsibilities
- Lead and mentor a distributed team of about twelve Machine Learning Engineers across multiple pods.
- Manage and evolve ranking, recommendation, and personalisation systems across all ordering surfaces.
- Define the technical vision for the team's machine learning ecosystem, balancing short-term objectives with long-term initiatives.
- Unify recommendation models across Deliveroo, Wolt, and DoorDash brands and markets.
- Collaborate with Product, Data Science, and adjacent engineering teams to shape roadmaps and translate business needs into machine learning solutions.
- Offer technical guidance regarding modeling techniques, system design, and production architecture.
- Improve key marketplace metrics such as customer engagement and conversion rates.
- Maintain code familiarity to support AI-assisted engineering tools and team practices.
Requirements
- Prior experience line-managing machine learning engineers, including managing a horizontally distributed team across multiple pods or workstreams.
- Significant background building and launching machine learning systems in production at scale within recommendations, personalisation, search, ranking, or information retrieval.
- Strong stakeholder management capabilities spanning product, engineering, and business functions across multiple geographies.
Core Skills
Benefits
- Competitive salary
- Equity options
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote policy for this role?
The position is based in London with a hybrid schedule requiring attendance in the office three days a week.
What is the team size and structure?
The manager will lead a high-performing group of around 12 Machine Learning Engineers distributed across London, Berlin, and Finland within multiple pods.
What compensation is provided?
The posting specifies a competitive salary and equity options, though a specific numerical salary amount is not stated.
What type of employment is this?
The employment type is full-time.
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