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Senior Machine Learning Engineer

Deliveroo · London - The River Building HQ

SeniorData and MLAll Cost CentersMachine LearningPosted 3 months ago
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About this role

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

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