Director of Machine Learning
2 Days Old
Job Description
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.
- Location:
- City Of London
- Category:
- Education
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