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Principal Machine Learning Scientist, Recommender Systems
ERLPhase Power Technologies Ltd.. Set the standard for recommender systems at Relay .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and leading recommender systems from research to production, with a strong focus on evidence-driven experimentation and the ability to simplify complex concepts. Proven experience in reinforcement learning and large language models is essential.
Highest-signal resume keywords
Recommender Systems DevelopmentReinforcement LearningLarge Language Models (LLMs)PhD or Publications in Relevant FieldExperimental Mindset
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Recommender SystemsReinforcement LearningLarge Language ModelsExperimental DesignData Analysis
Soft Skills
Complex Problem SolvingCommunication Skills
Industry Keywords
Operational ResearchTech Community Engagement
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 powering 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
Requirements
What you’ll need- Experience building recommender systems at scale, owning them in production, and leading their direction
- Deep expertise in recommender systems, reinforcement learning, and LLMs
- Expertise demonstrated through a PhD, publications, or years at the frontier in industry
- Evidence-driven experimental mindset
- Ability to make open-ended problems tractable
- Ability to explain complex ideas simply
- Must answer whether UK visa sponsorship is needed now or in the future
Benefits
Comp & perks- Equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives