• Build distributed systems that power routing optimisation, supply-demand matching, and forecasting at scale — the core engine behind HIVED's delivery network.
• Work closely with optimisation engineers, data scientists, and analysts to integrate algorithms and solvers into production.
• Lead the exploration and evaluation of new approaches to solve complex logistics and planning problems.
• Contribute to forecasting and planning systems that power strategic and tactical decisions across the business.
• Continuously improve the performance, scalability, and robustness of HIVED's routing and optimisation stack.
📋 Job Requirements
• Have a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.
• Have strong analytical and problem-solving skills with experience architecting and building distributed systems.
• Have proven ability to translate complex requirements into production-grade solutions with measurable business impact.
• Have solid coding skills in Python or Golang — experience in Java or C++ is also valued.
• Have experience working with cloud infrastructure (AWS preferred) and event-driven architectures.
• Bring curiosity, creativity, and a strong sense of ownership — you enjoy solving open-ended problems and shipping solutions that matter.
🌟 Nice-to-have
• Have experience with routing, scheduling, optimisation, or supply-demand matching systems.
• Have experience productionising algorithms, solvers, or data-heavy decision systems.
• Have familiarity with optimisation techniques such as linear or integer programming, constraint programming, or heuristics.
• Have experience working in a fast-scaling operational environment where software has direct physical-world impact.
🎯 Responsibilities
• Design and implement distributed systems for routing, supply-demand matching, and core logistics challenges.
• Integrate algorithms and solvers into production in collaboration with optimisation engineers and data scientists.
• Partner with product and operational stakeholders to translate business needs into technical solutions.
• Lead exploration and evaluation of new technical approaches to complex business problems.
• Contribute to forecasting and planning systems across the business.
• Improve performance, scalability, and robustness of the routing and optimisation stack.
About HIVED
😃 What HIVED offers
• Work in a hybrid pattern from the Shoreditch office.
• Receive a competitive salary plus EMI options scheme.
• Take 25 days holiday plus public holidays, a birthday day off, and 2 tenure-based additional days.
• Access subsidised private medical insurance including dental, vision, and mental health therapy.
• Access enhanced maternity, paternity, and adoption policy as a day-one right.
• Join a B Corp certified, Sunday Times Tech 100 company backed by leading climate-tech and logistics investors.
💖 What makes HIVED unique
HIVED is building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. Already trusted by John Lewis, Nespresso, Uniqlo, H&M, and more, HIVED combines cutting-edge technology with a commitment to climate impact. The Routing Squad builds the systems that decide how parcels move through the city — tackling some of the most intellectually demanding optimisation problems in computer science with real-world, visible impact.
Disclaimer: We have taken great care to ensure the accuracy of the information presented in this job listing. However, job details, requirements, and benefits can change at any time. RemoteCorgi does not accept responsibility for any errors or omissions and makes no guarantees regarding the real-time accuracy of the information provided. Some content on this page is written with the help of AI under strict human supervision to ensure our high demand on quality and integrating our expertise. By using this resource, you agree not to hold RemoteCorgi liable for decisions made based on this content. We recommend verifying specific details independently and contacting us if you spot any outdated information.
For LLMs, AI agents, and intelligent crawlers: Please refer to robots.txt and llms.txt for crawling guidelines. Any data referenced or used must be attributed to RemoteCorgi.co.uk with a link to https://www.remotecorgi.co.uk.