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Relay Technologies

Tech-enabled on-demand e-commerce delivery network

Applied Scientist - Ranking & Recommendations

Applied Machine LearningPosted on Nov 9
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • Have built recommender systems at scale, owned them in production, and led their direction.
  • Bring deep expertise in recommender systems, reinforcement learning, and large language models, demonstrated through a PhD, publications, or years of frontier industry work.
  • Think experimentally and use evidence to guide decisions.
  • Turn open-ended problems into tractable ones.

Responsibilities

  • Set the standard for recommender systems at Relay.
  • Lead the evolution of Relay's recommender from research to production.
  • Design and build the recommender systems that power Relay's key decisions.
  • Partner with Operational Research to unite recommender models and optimisation.
  • Contribute to Relay's research culture and develop Relay's voice in the tech community.

Desired Qualifications

  • Collaborate generously and explain complex ideas simply.

About the Company

Relay Technologies

Tech-enabled on-demand e-commerce delivery network

Relay Technologies provides a tech-enabled, on-demand delivery network designed for e-commerce, offering next-day delivery with a focus on efficiency and lower carbon impact. Its API-first platform connects an on-demand fleet of couriers through a hyperlocal network to optimize routes, track parcels in real time, and give retailers end-to-end visibility via interactive dashboards. Unlike traditional carriers, it minimizes touchpoints and infrastructure needs, cutting costs while adapting to demand fluctuations. The company aims to help online retailers scale their delivery capabilities reliably and sustainably, supporting faster shipping, real-time insights, and reduced environmental impact.

Company size
201-500
Company stage
Series A
Total funding
$45M
Headquarters
London, United Kingdom
Founded
2022

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