Senior Machine Learning Engineer - AI-Driven Insurance Automation
Design, build, and deploy scalable ML systems. Translate insurance processes into AI solutions. Join a YC-funded startup, scaling from 0 to 1. Work with experienced founders.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Axiom Recruit is partnering with a Y Combinator funded AI Debt Claims tech company that is redefining how complex operational workflows and insurance operations are automated with AI. Already trusted by major enterprise customers, they’re scaling rapidly and seeking exceptional ML Engineers to join their London team.
This is a strong opportunity to own and deploy real AI systems in production not just experimentation. Work with founders who sold 2 companies before!
What You’ll be doing
- Design, build, and deploy scalable machine learning systems
- Develop LLM-powered workflows and intelligent automation pipelines
- Translate real-world insurance business processes into AI-driven solutions
- Contribute to system architecture and scaling a startup from 0 to 1
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What We’re Looking For
- 5+ years’ experience in Machine Learning / AI Engineering
- Proven track record of shipping ML models into production
- Strong coding skills in Python for ML research
- Experience in startup, scale-up, or high-performance teams
Tech Stack
Python | Machine Learning | LLMs | NLP | Deep Learning | AI Automation | Agent Frameworks
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Package & benefits
- 💰 Competitive salary + bonus + real equity
- 🌍 Visa sponsorship available
- 🏢 Full-time, in-office role (London)
- 🔥 High-performance, ambitious team culture
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This role is ideal for engineers who:
- Want to see their ML work in production fast
- Thrive in fast-moving, high-ownership environments
- Are excited by AI-native product building, not just research
- Who wants to work with founders who sold 2 companies
- Want to help scale a company from early success to market leader
Apply now
Apply directly via LinkedIn or message Hassan at hassan@axiomrecruit.com confidentially to learn more.
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