About the job
Ki Insurance brings together technology and specialty insurance from its London base. The company’s portfolio spans diverse risks, from space missions and global tours to renewable energy projects and sports professionals. Ki collaborates with organizations such as Google and UCL to develop a platform that uses algorithms, machine learning, and large language models to deliver rapid insurance quotes to brokers.
Recognized as the largest algorithmic insurance carrier worldwide and the fastest-growing syndicate in the Lloyd's of London market, Ki achieved $100 million in profit within three years. Teams work together in an agile environment, drawing on expertise from multiple fields to deliver new solutions and influence industry direction.
Role overview
The Algorithm Engineering team is searching for engineers interested in shaping insurance through technology. This role connects underwriting with algorithm development, building machine learning products that support more than 25 business classes, including Commercial Properties, Oil Rigs, and Event Contingency insurance.
Algorithm Engineers at Ki help assess risks quickly and accurately, enabling the creation of a profitable and stable portfolio in under a minute. Projects range from large-scale geospatial analysis and managing exposure to natural disasters, to developing machine learning techniques for areas with limited data, such as Terrorism insurance. The work combines technology and specialty insurance, always with a focus on commercial results.
How the team works
- Collaboration across disciplines, blending specialty insurance knowledge with scalable machine learning product development
- Focus on delivering high-impact features through an iterative and analytical approach
- Dedicated time for research and development, both internally and with academic partners
- Commitment to commercial outcomes and maintainable, well-tested code
- Algorithms primarily developed in Python
- Fully cloud-native infrastructure, managed as code
Location
This role is based in London, England, United Kingdom.

