Staff Applied Scientist, Optimisation

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M) led by deep-tech investors Plural, and a recently closed Series B ($95M), Relay is scaling faster than 99% of venture-backed startups. As a Staff Applied Scientist at Relay, you'll lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network. You'll model and optimise the decisions that define our last-mile delivery network and marketplace. You'll develop our solvers and algorithms so they perform live, and at scale. You'll partner with other Scientists to unite ML and recommender systems with Operational Research. You'll raise the standard for Operational Research at Relay, and grow the team, the research culture and our voice in the tech community. We're looking for candidates who bring deep expertise in operational research, whether from a PhD, publications, or years at the frontier in industry. You should have built optimisation systems or ML models that run in production, and owned the outcome. You should be energised by large, messy problems, and know how to bring structure to them. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives. Job Data by YubHub .