OverviewDo you want to lead a mission-driven ML team tackling real-world climate risks?Are you excited by the challenge of combining machine learning with physical modelling?Ready to take a strategic, hands-on leadership role at a fast-growing Series A startup?We’re working with a climate risk intelligence platform that helps financial institutions, insurers, and asset managers assess the physical risks of climate change at a global scale. Serving some of the worlds largest consultancies and SaaS tech companies, the company recently raised £18M Series A and is growing rapidly to meet demand across regulated industries.ResponsibilitiesLead and grow the ML function (2 MLEs today, hiring 2 more)Set technical direction and ML roadmapPartner with science, product, and engineering leadershipBuild hybrid ML systems that integrate physical climate models (e.g. flooding, wildfires)Deploy robust ML solutions into production environmentsQualificationsStrong experience building and deploying ML models in production (MLE background essential)Previous leadership experienceExposure to geospatial or EO data, ideally in climate, insurance, or risk domainsComfortable in fast-paced, startup environmentsExperience blending ML with physics/simulation models a strong plusOther DetailsLocation: Hybrid – 3 days/week in Central London officeVisa Sponsorship: AvailablePlease apply if interested. #J-18808-Ljbffr