Lead Machine Learning Engineer

Please read the following job description thoroughly to ensure you are the right fit for this role before applying. Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder engagement ability Start-up mindset - thrives in lean, high-growth teams and rolls up sleeves to own problems end-to-end Please note: This role requires 3 days onsite per week onsite in London. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page