Computer Vision​/ML Engineer

London | Hybrid | Competitive Salary + Equity

We're building technology for the next generation of defence and autonomous systems.

The problems we're solving sit across computer vision, machine learning, sensors, robotics and algorithms
, with everything we build ultimately being used in the real world.

We're looking for a Computer Vision / ML Engineer to join our growing AI team.

This is a hands-on engineering role for someone who enjoys taking difficult, ambiguous problems and turning them into working systems that actually get deployed
.

A lot of what you'll work on won't have a ready-made solution. You'll need to experiment, build, test and iterate — combining modern ML with traditional computer vision and algorithms to find an approach that works.

You’ll solve problems that hasn't already been solved

We're not asking you to spend your time implementing standard ML pipelines or fine-tuning models against problems that have already been solved a thousand times.

Our customers come to us with complex real-world problems
, often involving imperfect sensor data, unusual environments and significant constraints.

Your job is to figure out how to solve them.

That could mean working on:

• Computer vision and scene understanding
• Object detection and tracking
• Sensor fusion and multi-modal data
• Image and signal processing
• Optimisation and algorithms
• Control and path planning
• Machine learning
• AI running on resource-constrained systems

Sometimes the right answer will be a modern ML model.

Sometimes it will be a clever algorithm.

Often it'll be a combination of both.

We're interested in engineers who care about finding the best solution, rather than forcing every problem into the latest AI technique.

You’ll build things that go into production

This isn't a research role where your work disappears into a paper or stays as a prototype.

The things you build will become part of production systems used by real customers
.

You’ll take problems from an initial idea through experimentation, implementation, testing and deployment.

You’ll work closely with software engineers and other AI specialists to make sure what you build actually performs reliably outside of a controlled environment.

That means thinking about far more than model accuracy.

You’ll need to consider performance, reliability, data, compute constraints and how your system behaves when the real world inevitably doesn't look like your training data.

You’ll see your work in the real world

You’ll also work directly with customers.

Rather than receiving a requirements document and disappearing into the engineering team, you’ll have the opportunity to understand the problem first‑hand, build a solution and then go and see it being used.

That means some travel to customer sites in the UK and occasionally internationally.

You might spend one week developing and testing an approach in the office, then the next week deploying it and seeing how it performs in the environment it was actually designed for.

The feedback loop is fast — and that's where a lot of the interesting engineering happens.

You’ll have huge ownership

We're building out the AI capability of the company and you'll be joining at an early stage.

You’ll have a significant amount of freedom over how you approach problems and the opportunity to influence the technical direction of the team.

You’ll work alongside strong engineers across AI, software, robotics and systems
, giving you exposure to problems well beyond a typical ML engineering role.

If you want to become the person who can take an ambiguous problem, work out the technical approach and actually get it working in production
, this is a great environment to do it.

We're looking for strong engineers who happen to specialise in…