AI Engineer

Visa Hunt; Greater London; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Visa sponsorship

Equity

Health insurance

Pension

Office in London

Job summary

ClaimSorted, backed by Y Combinator, Atomico, and Eurazeo, seeks an AI Engineer to build the AI platform powering insurance claims in London. You’ll turn claims processes into AI‑driven workflows and deploy machine learning solutions at scale, collaborating with insurance specialists to improve accuracy, speed, and customer experience.

This full‑time, office‑based role offers the chance to shape the engineering culture from the ground up and to work closely with founders as we scale from 0 to 1.

Qualifications

• 2+ years of experience in AI/ML engineering or research.
• Proven track record of delivering AI/ML projects from concept to production.
• Passion for shipping quickly.
• Great at working with non-technical users.
• Comfortable operating in ambiguous, high-velocity environments.

Responsibilities

• 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

Skills

AI/ML engineering

Production deployment

Shipping quickly

Non-technical stakeholders

Ambiguity handling

Job description

AI 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