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ClaimSorted

Machine Learning Engineer

London
Posted 4 months ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Skills

Machine Learning
AI Engineering
AI Systems Building
Machine Learning Deployment
Workflow Automation
Startup Scaling
Technical Culture Shaping

Location

London, England, United Kingdom

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