Machine Learning Engineer

A fast-moving AI startup is rebuilding how logistics paperwork gets processed — one of the biggest bottlenecks in global trade. The product slow, manual verification with production-grade ML systems used by enterprise customers.

They’re hiring now because demand is real, ARR is growing, and performance matters — this is about building systems that actually move money faster.

If you’ve ever wanted to be early at a company that feels more Palo Alto than corporate, this is that moment.

• You’ll own and evolve core ML systems powering high-volume document processing.
• A major focus will be reducing inference time on multi-document packets that directly impact customer cash flow.
• You’ll design and run experiments across prompts, models and architectures — then ship the winners.
• You’ll build and refine evaluation datasets for real production workflows.
• You’ll harden and extend services already live in production.
• This is a “ship weekly” environment where progress is visible and expected.

• Strong Python experience building and running ML systems in production.
• Hands‑on work with LLM or VLM-based systems, including evaluation and optimisation.
• Solid Docker skills and experience deploying containerised services.
• A builder mindset — you’ve shipped things end‑to‑end, not just contributed tickets.
• Comfort owning problems independently in a very small team.
• Nice to have experience with Go, workflow/orchestration tools, or systematic model experimentation.

• £80–90k base salary.
• 0.1–0.2% equity in options, with early‑hire upside.
• A pre‑seed company with enterprise traction and clear Series A ambitions.
• One of the first ML engineers in a 6–7 person team.
• Fully remote role — based anywhere in the UK, open to Europe.
• Real ownership and scope to grow with the company as it scales.