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ERLPhase Power Technologies Ltd.

Applied Scientist, Ranking & Recommendations

ERLPhase Power Technologies Ltd.

. Set the standard for recommender systems at Relay .

Posted 11/9/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and leading recommender systems at scale, integrating reinforcement learning and large language models (LLMs) to optimize decision-making processes. Strong collaboration and communication skills are essential for explaining complex concepts and fostering a research-driven culture.

Highest-signal resume keywords
Recommender Systems DevelopmentReinforcement LearningLarge Language Models (LLMs)Data-Driven Decision MakingCollaboration and Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Recommender SystemsLarge-Scale OptimisationModel DevelopmentExperimental DesignData Analysis
Soft Skills
CollaborationComplex Idea ExplanationEntrepreneurial Drive
Industry Keywords
Operational ResearchPersonalisationEconomicsCourier PreferencesPhysical-Network Constraints

About the role

Key responsibilities & impact
  • Set the standard for recommender systems at Relay
  • Lead the evolution of Relay's recommender from research to production
  • Design and build 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
  • Build recommender systems for matching thousands of couriers to available routes
  • Develop models powering large-scale optimisation of courier preferences and physical-network constraints
  • Integrate economics, personalisation, and optimisation in recommendations
  • Use data from Relay's apps to inform recommendation systems

Requirements

What you’ll need
  • Have built recommender systems at scale, owned them in production, and led their direction
  • Bring deep expertise in recommender systems, reinforcement learning and LLMs, whether from a PhD, publications, or years at the frontier in industry
  • Think in experiments, and let evidence guide decisions
  • Are energised by open-ended problems, and know how to make them tractable
  • Collaborate generously, and explain complex ideas simply
  • Strong technical fundamentals and entrepreneurial drive
  • Must address UK visa sponsorship needs in the application form

Benefits

Comp & perks
  • Equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives