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ClaimSorted

Machine Learning Engineer

Reposted 24 Days Ago
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
The Machine Learning Engineer will develop AI systems to enhance insurance claims workflows, deploy scalable ML solutions, and collaborate with insurance specialists.
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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

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