La Fosse
Optimisation Engineer
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Senior Optimisation Engineer | £650 - £850 | Outside IR35
Workforce Scheduling
Greenfield Build
We're partnering with a high-growth software company that is rebuilding the optimisation engine behind a market-leading workforce scheduling platform.
This is not a maintenance role and it's not a traditional machine learning position. This is an opportunity to design and build a next-generation optimisation engine from the ground up, tackling complex workforce scheduling challenges involving labour rules, preferences, fairness, coverage, cost optimisation and demand-aware scheduling.
The goal is ambitious: move beyond hand-crafted heuristics and create a scalable optimisation platform where schedule quality improves with more data, more usage and more compute.
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What you'll be doing:
- Designing and implementing optimisation models for workforce scheduling and rostering
- Evaluating and benchmarking different approaches including CP-SAT, MIP, constraint programming, large neighbourhood search and hybrid optimisation methods
- Building systems that guarantee feasible schedules while continuously improving schedule quality
- Developing production-grade optimisation services and APIs
- Translating complex business rules, labour regulations and customer requirements into configurable optimisation models
- Partnering with engineering, product and implementation teams to solve real-world scheduling problems at scale
- Helping shape the long-term optimisation architecture and technical direction of a core product
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Your Profile
- Commercial experience building and deploying optimisation systems
- Strong background in operations research, optimisation, algorithms or applied mathematics
- Expertise with solver technologies such as OR-Tools, CP-SAT, Gurobi, CPLEX, SCIP, CP Optimizer, OptaPlanner or similar
- Strong software engineering skills, ideally in Python alongside Java, Kotlin, C# or C++
- Experience with scheduling, rostering, routing, planning or other combinatorial optimisation problems
- Particularly relevant backgrounds include workforce scheduling, nurse rostering, airline crew scheduling, transport optimisation, vehicle routing, manufacturing planning and contact-centre workforce management.
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