Machine Learning Engineer
About Us
ClaimSorted helps insurers outsource claims end to end – a service called Third-Party Administration (TPA), a ~$200B industry. We combine a strong in-house claims team with our AI-enabled platform to deliver up to 3× faster claims, better service, and better economics for insurers.
Backed by Y Combinator, Atomico, and Eurazeo, we’ve raised $15M+ and already manage claims for over $100M in insurance premium across 30+ MGAs, including more than five publicly traded companies. Our goal: scale to $1B and become the most valuable TPA in the market.
The Role
You will build the AI platform powering insurance claims – helping people get support during life’s most critical moments. You’ll work with insurance specialists to turn claims processes into AI-driven workflows and deploy machine learning solutions at scale.
Build AI systems that improve accuracy, speed up assessments, and enhance customer experience
Work with insurance specialists to turn claims processes into AI-driven workflows
Deploy machine learning solutions at scale
Help build the engineering team and shape the technical culture from the ground up
Work closely with founders and learn how to scale a startup from 0 to 1
We love working together in the office, so this is a full-time, office-based role in our London office. We’re a high-intensity team and often put in significant time and effort, with some people working on weekends, because we believe great outcomes come from doing the work well.
Qualifications
2+ years of experience in AI/ML engineering or research
Proven track record of delivering AI/ML projects from concept to production, improving key company metrics
Passion for shipping quickly
Great at working with non-technical users
Comfortable operating in ambiguous, high-velocity environments
Our Values
Move Fast – Act decisively, iterate quickly, optimise for momentum.
Always Overdeliver – We exceed expectations in everything we do.
Think Customer-First, Always – The customer experience drives every decision.
Challenge the Status Quo – We innovate relentlessly and never settle for ‘good enough.’
Say It How It Is – Transparency and direct communication build trust.
Compensation & Benefits
Competitive salary beyond the industry standard
Generous, transparent equity participation
Skilled Worker visa sponsorship in the UK
28 days annual leave plus bank holidays
30 days of remote work annually
Health insurance
Pension contributions in line with UK auto-enrolment requirements
Company offsites
About the Interview
Intro call – 20 min
Technical interview – 45 min
ML interview – 30 min
Culture interview – 30 min
Team day (paid) – come build with us for a day, weekend, or evening
