Staff Applied Scientist, Optimisation & Real-Time Routing

Relay Technologies; Greater London; Hybrid; GBP 120.000 - 180.000; Vollzeit

Zusammenfassung

Relay Technologies is seeking a Staff Applied Scientist to lead optimisation for our last‑mile network. You will model and optimise routing, pricing and scheduling decisions that define Relay's delivery marketplace, while developing scalable solvers and algorithms.

You will collaborate with ML and OR scientists to unify recommender systems with operational research, and help grow the team and research culture.

Qualifikationen

• PhD in OR or a related quantitative field is highly desirable.
• Proven experience in building production-grade optimization/ML systems.
• Strong collaboration and ability to lead cross-functional teams.

Aufgaben

• Lead optimisation for Relay's last mile, delivering optimal routing, pricing and scheduling for couriers and the network.
• Model and optimise decisions that define the last-mile delivery network and marketplace.
• Develop solvers and algorithms to perform live at scale.
• Collaborate with Scientists to integrate ML and recommender systems with Operational Research.
• Grow the team and culture, raising the standard for OR at Relay.

Kenntnisse

OR expertise

ML in production

Optimization systems

Team leadership

Collaboration

Ausbildung

PhD in OR or related field

Tools

In‑house solver

ML frameworks

Recommender systems

Jobbeschreibung

Relay Technologies is seeking a Staff Applied Scientist to lead optimisation for our last‑mile network. You will model and optimise routing, pricing and scheduling decisions that define Relay's delivery marketplace, while developing scalable solvers and algorithms.

You will collaborate with ML and OR scientists to unify recommender systems with operational research, and help grow the team and research culture.