Machine Learning Engineer

An early-stage UK AI company is building software that removes friction from complex logistics workflows by automating document processing and decision-making. Their product is already live with customers, and the focus now is on moving faster, shipping weekly, and compounding product quality through better ML systems.

They’re hiring an early Machine Learning Engineer to strengthen a small, high-accountability team as customer demand and product scope increase.

The role

• You’ll join as one of the first ML engineers in a six-person team, working very close to the product and real customer problems. This is a production-first role, not research-led.
• You’ll improve and extend LLM-powered document processing and agent workflows that are already in use.
• You’ll design and build evaluation datasets, run systematic experiments on prompts, models and architectures, and turn results into shipped improvements.
• You’ll help harden and scale a containerised ML pipeline, and keep a close eye on new model releases to identify practical gains the team can ship quickly.
• Ownership is end-to-end, from idea to production.

What you’ll bring

• You’ve written a lot of Python that runs in production and you’re comfortable owning it.
• You’ve worked hands-on with LLM-based systems, including prompting, evaluation and iteration, and you care about measuring whether things are actually getting better.
• You’re confident with Docker and running containerised services in real environments.
• Experience with Go, workflow orchestration tools like Temporal, or building structured evaluation datasets is useful but not essential.
• More important is a builder mindset: you’ve shipped things end-to-end, you’re comfortable working independently, and you follow through on what you commit to.
• Clear communication and comfort operating in a high-bar, outcome-driven environment really matter here.

What’s on offer

• Base salary of £80–90k depending on experience.
• Equity of around 0.1–0.2% in options, with scope for accelerated vesting.
• A genuinely small, senior team with a weekly shipping cadence and direct exposure to customers. UK-based today, with flexibility on remote working for the right person and openness to future New York expansion.

Apply to find out more!