Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Stocks & Be[...]

Build intelligent systems that improve operational accuracy, accelerate assessments, and enhance user experience. Collaborate closely with domain specialists to translate complex, manual processes into AI-driven workflows. Deploy, monitor, and scale machine learning solutions in a production environment. Help shape the technical culture and engineering team from the ground up. Work side-by-side with the founding team, learning exactly how to scale a business from 0 to 1.

2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics. A passion for high-velocity deployment-you love shipping code quickly. Strong communication skills and the ability to collaborate effectively with non-technical stakeholders. Comfort operating in ambiguous, rapid-growth, and high-velocity environments. Senior (5+ years of experience).

Base salary up to £165,000. Generous, transparent equity participation. Comprehensive health insurance and pension contributions. 28 days annual leave (plus bank holidays). 30 days of remote working flexibility per year. Full Skilled Worker visa sponsorship available for the UK.

Owen Thomas is partnering with a high-growth, venture-backed InsurTech scale-up that is disrupting a massive $200 B global market. Using AI they deliver automation that is up to 3× faster than legacy industry standards allowing insurance companies to act quicker and save millions. The company has found a niche within a niche and is already proving to be valuable to some of the world’s leading insurance firms. Because of this they have been backed by some of Europe’s and Silicon Valley’s most prestigious venture capital firms. As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. This is a full-time, office-based role in Central London, joining a high-intensity, mission-driven team that thrives on high performance and rapid execution.