Senior MLOps Engineer

Description du poste

Who are we?👋 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. Where you come in? We're looking for a Senior MLOps Engineer to join our Algorithmic Underwriting team. In this role, you’ll develop and extend our MLOps system, empowering our underwriting algorithm to improve effectively and efficiently. We'll work together across the business to tackle exciting technical challenges that go far beyond traditional MLOps systems. For instance, you’ll expand our MLOps system to manage the lifecycle of actuarial models and rules-based models alongside standard machine learning models. You’ll also have the opportunity to propose, design, and execute initiatives independently, guiding a talented team to bring these ideas to life. We’re a commercially focused, multi-disciplinary team that brings together deep expertise in specialty insurance and scalable algorithm product development. Our squads focus on delivering high-impact features using a highly iterative, analytical approach. And we invest time in research and development, both internally and with leading academic institutions, to continually push boundaries. What you will be doing: 🖋️

Annonce publiée sur Welcome to the Jungle et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.