Director of Machine Learning & AI
London – Hybrid (3 days in office)
Up to £125,000 + Equity
About the Role
A fast-scaling climate tech company backed by investors is looking for a Director of AI & ML to lead the development of advanced machine learning solutions that help global banks, insurers, and real estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting.
Key Responsibilities
* Own and evolve the company’s AI & ML strategy in line with product and customer priorities
* Lead, mentor, and grow a high-performing team of ML Engineers
* Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling
* Collaborate with Science and Engineering to integrate ML with physics-based climate models
* Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams
Your work will focus on delivering high-value insights and solutions, including:
* Developing generative AI tools for geospatial risk assessment
* Building models to project the impact of floods, cyclones, heat stress etc
* Leveraging satellite imagery and remote sensing for climate hazard detection
* Enhancing time-series forecasts to inform asset-level risk planning
* Combining simulation outputs with ML for hybrid physical + statistical modelling
What We’re Looking For
* Proven leadership and strong hands on experience
* Proven track record of deploying ML into production environments
* Depth in at least one of: generative AI, geospatial ML, computer vision, or forecasting
* Experience working with climate data (or similar)
* Excellent communication skills and cross-functional collaboration ability
* Experiene working in start ups/ scale ups.
Bonus Points
* Experience with satellite imagery or other Earth-observation data
* Exposure to climate risk, catastrophe modelling, or environmental data
* Familiarity with physics-informed ML or simulation-driven techniques
* Background in regulated or data-sensitive industries
If this role looks of interest, please apply below.