Lead Machine Learning Engineer

Zego, founded in 2016, is revolutionizing motor insurance by offering data-driven, fairly-priced coverage for good drivers. As a Lead Machine Learning Engineer in the Core Pricing team, you'll be at the forefront of innovation, optimizing and automating pricing processes through advanced ML systems. The role combines technical expertise in machine learning, DevOps, and software engineering with business impact in the insurance sector. You'll work with a cross-functional team of Data Scientists, Actuaries, and Product managers to build and maintain production-grade ML systems that drive pricing decisions. The company has raised over $200 million in funding and operates with a hybrid work model based in London. This position offers an opportunity to shape the future of insurance technology while working in an inclusive, achievement-oriented culture that values personal growth and innovation. The role requires expertise in Python, ML model lifecycle management, and cloud technologies, combining technical depth with business acumen to deliver impactful solutions in the insurtech space.