Optimization Engineer

Founding Optimisation Engineer | Early-Stage AI Start-Up A Founding Machine Learning Engineer is required to join an ambitious early-stage AI start-up in London, building intelligent systems to solve complex real-world operational problems. You'll be one of the first technical hires, taking significant ownership of the company's core ML and optimisation technology. You'll work across machine learning, optimisation, algorithms and software engineering, taking ideas from research and experimentation through to production and seeing your work deployed into real operational environments. You are:

• 3+ years of professional experience in machine learning, applied optimisation, operations research or a closely related field
• Strong in Python with solid software engineering fundamentals
• Experienced working with machine learning, optimisation or algorithmic systems
• Comfortable solving complex problems where there isn't an obvious or predefined solution
• Experienced taking technical or ML systems beyond research and into production
• Highly autonomous and motivated by working in an early-stage environment
• Excited by the opportunity to help shape both the technology and technical direction of a growing company Bonus points:
• Experience with constraint programming, MIP, heuristics, metaheuristics, CP-SAT or OR-Tools
• Experience with real-time or incremental optimisation
• Experience with scheduling, routing, resource allocation or similar optimisation problems
• Experience combining machine learning / AI with optimisation
• Previous experience at a high-growth start-up or as an early/founding engineer Why join:
• Become a founding member of the engineering team and have significant influence over the technology
• Own technically challenging problems across ML, optimisation and AI
• Take ideas from early research through to production
• See the technology you build directly impact real-world operations
• Work closely with the founders and shape the technical direction of the company
• Join a small, high-calibre team tackling genuinely difficult problems