Applied Scientist – Recommender Systems for Global Logistics

Relay; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Relay is seeking an Applied Scientist to advance our recommender systems at scale. You will drive the transition from research to production, designing models that balance complex constraints and business goals.

You’ll collaborate with Operational Research and cross-functional teams to ship impactful, data-driven decisions. Ideal candidates bring deep expertise in recommender systems, reinforcement learning and language models, with a track record of experimentation and open scientific thinking.

Qualifications

• Deep expertise in recommender systems, reinforcement learning and LLMs.
• Ability to run experiments and let evidence guide decisions.
• Comfort with open-ended problems and scalable solutions.

Responsibilities

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

Skills

Recommender systems

Reinforcement learning

LLMs

Experimentation

Collaboration

Education

PhD in CS/ML

Tools

PyTorch

TensorFlow

Job description

Relay is seeking an Applied Scientist to advance our recommender systems at scale. You will drive the transition from research to production, designing models that balance complex constraints and business goals.

You’ll collaborate with Operational Research and cross-functional teams to ship impactful, data-driven decisions. Ideal candidates bring deep expertise in recommender systems, reinforcement learning and language models, with a track record of experimentation and open scientific thinking.