About HIVED 📦

At HIVED, we’re steamrolling forward as one of Europe’s fastest growing startups, and our momentum shows no signs of slowing.

Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery.

A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better.

Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, H&M brands and more, we are solidifying our position as the leaders in Europe to tackle this growing market.

Our tight-knit team is made up of ex-Revolut, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europe’s leading investors and VCs in climate-tech, logistics and mobility including Planet A Ventures, Maersk Growth, Pale Blue Dot VC, Eka Ventures and the British government. We’re passionate about driving innovation and redefining the future of delivery.

Role Overview 📝 

We are looking for a Senior Optimisation / Operations Research Engineer with a passion for solving complex, high-impact operational problems.

As part of HIVED’s Routing Squad, you’ll work on some of the most intellectually demanding challenges in computer science - building cutting-edge optimisation and forecasting systems that drive supply-demand matching and efficient route planning at scale. Your work will directly enhance our core delivery engine and help create a competitive edge through technology.

You'll collaborate within a cross-functional team of engineers, data analysts, and data scientists to build production-grade optimisation systems that are robust, scalable, and deeply integrated into HIVED’s operations. This is an opportunity to combine theoretical rigour with real-world application and see the tangible impact of your work every day.

What you’ll be doing 🚀

• Design and implement optimisation models and algorithms for routing, supply-demand matching, and other core logistics challenges.
• Work closely with engineers, data scientists and analysts to integrate optimisation logic into production systems.
• Lead the exploration and evaluation of new approaches - from linear programming and heuristics to machine learning-based optimisation.
• Partner with product and operational stakeholders to understand business needs and translate them into technical solutions.
• Contribute to forecasting and planning systems that power strategic and tactical decisions across the business.
• Continuously improve the performance, scalability, and robustness of our optimisation stack.

What we’re looking for 🔎

• A Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Computer Science, Computer Engineering, or a related technical field.
• Strong analytical and problem-solving skills with a deep understanding of optimisation methods (e.g. linear/integer programming, constraint programming, heuristics).
• Proven ability to translate complex models into production-grade solutions with measurable business impact.
• Experience working with or integrating optimisation solvers (e.g. Gurobi, CPLEX, OR-Tools) into software systems.
• Solid coding skills (Python preferred, though experience in other languages like C++, Java, or Go is also valued).
• Curiosity, creativity, and a strong sense of ownership - you enjoy solving open-ended problems and shipping solutions that matter.

Technologies we use 💻

• Backend languages: Python, Go
• Tech infrastructure: AWS, CDK (TypeScript), Lambda, SQS, EventBridge, RDS, DynamoDB
• Data tooling: GCP, BigQuery, Looker, Looker Studio
• Observability: Loki, Tempo, Grafana, Prometheus
• Event-driven architecture and domain-driven design

How we reward our team 🎁

• Dynamic working environment with a diverse and driven team
• Huge opportunity for learning in a high-growth environment, with progression opportunities based on success in the role
• 25 days of holiday allowance plus public holidays
• Wellbeing initiatives, including three wellbeing days in addition to holiday allowance
• Weekly team lunch and regular company socials
• MacBook Air or Windows Laptop (depending on your preference)
• Hybrid working set-up with in-person time expected at our Shoreditch office
• Enhanced maternity/paternity/adoption policy