Do 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.

Responsibilities:

• Lead and grow the ML function (2 MLEs today, hiring 2 more)
• Set technical direction and ML roadmap
• Partner with science, product, and engineering leadership
• Build hybrid ML systems that integrate physical climate models (e.g. flooding, wildfires)
• Deploy robust ML solutions into production environments

Requirements:

• Strong experience building and deploying ML models in production (MLE background essential)
• Previous leadership experience
• Exposure to geospatial or EO data, ideally in climate, insurance, or risk domains
• Comfortable in fast-paced, startup environments
• Experience blending ML with physics/simulation models a strong plus

Other Details:

• Location: Hybrid – 3 days/week in Central London office
• Visa Sponsorship: Available

Please apply if interested.