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Claimsorted

Machine Learning Engineer

Location
London
Work mode
on-site
Type
full-time
Department
Engineering
Equity
Included
Last seen
1d ago
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
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Work with insurance specialists to turn claims processes into AI-driven workflows
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Deploy machine learning solutions at scale
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Help build the engineering team and shape the technical culture from the ground up
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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
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2+ years of experience in AI/ML engineering or research
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Proven track record of delivering AI/ML projects from concept to production, improving key company metrics
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Passion for shipping quickly
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Great at working with non-technical users
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Comfortable operating in ambiguous, high-velocity environments
Our Values
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Move Fast – Act decisively, iterate quickly, optimise for momentum.
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Always Overdeliver – We exceed expectations in everything we do.
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Think Customer-First, Always – The customer experience drives every decision.
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Challenge the Status Quo – We innovate relentlessly and never settle for ‘good enough.’
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Say It How It Is – Transparency and direct communication build trust.
Compensation & Benefits
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Competitive salary beyond the industry standard
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Generous, transparent equity participation
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Skilled Worker visa sponsorship in the UK
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28 days annual leave plus bank holidays
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30 days of remote work annually
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Health insurance
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Pension contributions in line with UK auto-enrolment requirements
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Company offsites
About the Interview
•
Intro call – 20 min
•
Technical interview – 45 min
•
ML interview – 30 min
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Culture interview – 30 min
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Team day (paid) – come build with us for a day, weekend, or evening
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