Machine Learning Engineer, NLP | InsurTech, AI, Scale-up
Join a high-growth InsurTech scale-up as a Machine Learning Engineer to build AI platforms for automated operations. Collaborate with domain specialists to translate complex processes into AI-driven workflows. Deploy, monitor, and scale machine learning solutions in a production environment.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits
Owen Thomas is partnering with a high-growth, venture-backed InsurTech scale-up that is disrupting a massive $200B 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 have found a niche within a niche and are already proving to be valuable to some the worlds 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.
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What will you be doing?
- Building 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
Requirements for the Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits
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- 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.
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What's in it for you?
- Highly competitive base salary of 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.
If this sounds like something you would be interested in, drop over your CV and we will give you a call if we think you are a good fit!
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