OverviewLead Machine Learning Engineer

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 in London.

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

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