Optimisation Engineer

Oho Group; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Oho Group is seeking an experienced Optimisation Engineer in London to own and evolve core optimisation technology for real-world operations. You will develop systems that dynamically respond to changing conditions, combining AI, algorithms, and software engineering.

The role blends optimisation theory with production-level software and offers significant autonomy to push technical direction in a fast-moving startup environment.

Qualifications

• 3+ years of professional experience in applied optimisation, operations research, or a closely related field.
• Strong in Python with solid software engineering fundamentals.
• Experience with constraint programming, mathematical optimisation, MIP, heuristics, or metaheuristics.

Responsibilities

• Own and evolve the optimisation core of the platform.
• Develop systems that make complex decisions under real-world constraints.
• Bridge research and production, shipping reliable optimisation solutions.

Skills

Python

Applied optimisation

Constraint programming

Production-ready code

Autonomous problem solving

Job description

Optimisation Engineer | Early-Stage AI Start-Up | London

Optimisation Engineer required to join an ambitious early-stage AI start-up in London, building intelligent systems to solve complex real-world operational problems.

You’ll take significant ownership of the company’s core optimisation technology, developing systems that make complex decisions dynamically as real-world conditions change.

This is a highly technical role combining optimisation, algorithms, software engineering, and AI with the opportunity to see your work deployed into real operational environments.

You are:

• 3+ years of professional experience in applied optimisation, operations research, or a closely related field
• Strong in Python with solid software engineering fundamentals
• Experienced with constraint programming, mathematical optimisation, MIP, heuristics, or metaheuristics
• Comfortable developing optimisation systems that operate under complex real-world constraints
• Experienced taking technical or algorithmic systems beyond research and into production
• Highly autonomous and motivated by solving difficult, open-ended problems

Bonus points:

• Experience with CP-SAT, OR-Tools, or similar optimisation tooling
• 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 in a high-growth start-up or similarly fast-moving environment

Why join:

• Own a technically challenging and business-critical optimisation problem
• Work at the intersection of optimisation, AI, and real-world systems
• Take significant ownership over technical decisions and direction
• See the technology you build directly impact real-world operations
• Join a small, high-calibre team tackling genuinely difficult engineering problems

If you’re an Optimisation Engineer who wants to solve complex problems beyond simulations and see your work operating in the real world, I’d love to hear from you.

Optimisation Engineer | Early-Stage AI Start-Up | London