Machine Learning Engineer
2 days ago
Southampton
A fast-moving AI startup is rebuilding how logistics paperwork gets processed — one of the biggest bottlenecks in global trade. The product replaces 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. The Role • 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. What You’ll Bring • 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., • £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.