tl;dr: ML & full-stack engineers, $110k-220k + bonus + equity, London

Insurance is cool: you can hedge significant personal risks by contributing small amounts of money to a common pool. ✨ Civilization!✨

However, even for simple claims, you might have to wait months for payouts — because the industry is slow and non-technological. Fortunately, for every slow industry, there's a fast startup — and today, that's the British Claimsorted.

Claimsorted handles insurance claims. This is not uncommon in itself: many insurance companies work through contractors. Claimsorted simply does it three times faster than competitors: AI agents make decisions on typical cases in minutes, check compliance, and look for fraud, while complex cases are handled by their team of insurance experts 😮

The founders have prior insurtech experience, so they understand the niche perfectly — as a result, they've graduated from YC, raised $15M+ in investments, and secured 30+ insurance clients, through whom claims on portfolios with premiums of $100M+ are processed.

We need: ML-engineers — to turn claims processes into AI workflows: 🔵2+ years in AI/ML (engineering or research) ▫️your projects positively impacted key company metrics; ◾️you like to ship fast; ❤️you can work with non-technical people (here, that's insurance experts)

Full-stack engineers — you can interact with users a lot (forward-deployed), or not so much (product): 🔵2+ years of full-stack experience — strong teams from Russian big tech, for example, would be a good fit; 🔹stack: Next.js, Node.js, GCP, Postgres, Terraform; ❤️excellent communication skills (especially for FD).

We pay $110k-200k for SWE, $120k-220k for MLE — plus a 15% quarterly bonus, plus equity. We help with a skilled worker visa and relocation to London. ML engineers should reach out to @a_nro, full-stack engineers to @yourdivna ✨