Lead Machine Learning Engineer

ZipRecruiter; London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading AI-driven climate risk analytics platform in London seeks a Lead Machine Learning Engineer to mentor a team, combine machine learning with risk models, and establish evaluation practices. The role requires an MSc or PhD, strong experience with Python and SQL, and offers a salary of up to £100,000. Candidates should thrive in a start-up environment and be ready to engage stakeholders. This position mandates 3 days onsite work.

Qualifications

• 3+ years of experience in a Data Science, Data Analysis, or related role.
• Strong hands-on experience with Python and SQL.
• Start-up mindset, thrives in lean, high-growth teams.

Responsibilities

• Lead, mentor, and grow a high-performing team of ML engineers.
• Combine ML with physics-based risk models.
• Establish gold-standard practices for ML model development.

Skills

Python

SQL

Excellent communication skills

Stakeholder engagement

Education

MSc or PhD in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields

Job description

Overview

Lead 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