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Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs.
Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.
Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years.
Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.
We're looking for an MLOps Engineer to join our Algorithmic Engineering team. In this role, you’ll help us build and scale our MLOps system, enabling our underwriting algorithm to grow and scale. You’ll collaborate with colleagues across the business to solve complex technical challenges, such as generalising our MLOps system to manage actuarial and rules-based models. You’ll have the autonomy to propose, design, and execute innovative initiatives, delivering high-impact features as part of our forward-thinking team.
As a commercially focused, multi-disciplined team, we combine deep expertise in specialty insurance with scalable algorithm product development to power our digital underwriting. Together, we’ll invest in iterative development and research to continuously improve the Ki platform.
Collaborate with colleagues to design, deliver, and evolve Ki's end-to-end MLOps system.
Empower colleagues across Ki to deliver models into production more quickly and safely.
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London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
Identify opportunities to proactively improve and extend Ki's MLOps system.
Advocate and uphold model management best practices.
Act as a knowledge hub on Ki's MLOps system, educating teams on its capabilities and promoting business-wide adoption.
Support and mentor early-career members of the team.
Champion improvements to enhance our digital underwriting capabilities.
Initial recruiter screening call
Interview with hiring manager
Technical Interview (this may vary depending on the role)
Values Interview
Ki is a private algorithmic insurance underwriting platform and Lloyd’s syndicate serving insurance brokers with specialty coverage.
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