Lead Machine Learning Engineer

ZipRecruiter; City Of London; Hybrid; GBP 85,000 - 100,000; Full time

Job summary

A leading AI-driven climate analytics platform in London seeks a Lead Machine Learning Engineer to guide a team, develop robust ML solutions, and create impactful business outcomes. Candidates need an MSc or PhD in relevant fields and strong experience with Python and SQL. This role requires in-office presence three days a week.

Qualifications

• MSc or PhD in relevant fields.
• 3+ years of experience in relevant roles.
• Strong hands-on experience with Python and SQL.

Responsibilities

• Lead and mentor a team of ML engineers.
• Combine ML with physics-based risk models.
• Establish best practices for ML model development.

Skills

Python

SQL

Machine Learning

Communication Skills

Education

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

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

Additional information

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