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# Staff Machine Learning Engineer - Ads Bidding

- **Company:** Deliveroo
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Recommender Systems, Production Code
- **Published:** September 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d020ae92f728808c

## About the Role

* Expertise in ad economics, marketplace bidding, or auction theory
 * Direct working experience with optimised CPC, target CPO, goal-based automated bidding, and target ROAS
 * Strong self-driven leadership baseline - you'll be setting direction in an ambiguous space, not executing against an established one
 * 7+ years writing production code in Python; solid ML fundamentals in ranking, recommendation systems, or bidding/auction systems
 * A bias for simplicity and a focus on shipping work with measurable business impact
 * Strong cross-functional communication - you'll be working closely with Product, Commercial, and the wider DoorDash team

## Description

The Ads ML team builds and maintains the machine learning models powering Deliveroo's advertising product - connecting consumers with relevant ads and helping merchants, grocers, and FMCG brands grow through the platform. The UK team is ~11 MLEs across ads and promotions, and collaborates closely with the US team (meetings capped at 4pm UK to protect reasonable hours)., * Own the design and execution of the CPC-to-CPO migration, including the core open question of whether the system stays CPO-facing externally while optimising CPC behind the scenes, or some hybrid of the two

 * Build and improve the bidding surface: goal-based automated bidding, Target CPO, optimised CPC, and Target ROAS
 * Own yield management tied to ROS targeting
 * Partner daily with the DoorDash US team to align on approach across markets
 * Set technical direction for the domain


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