Lead Machine Learning Engineer - Climate Modelling

ZipRecruiter; City Of London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A climate risk intelligence platform is seeking a leader for its machine learning team in London. You will take strategic charge of the ML function, grow the team, and integrate hybrid machine learning systems with physical climate models. Ideal candidates will have significant experience in deploying ML models and previous leadership roles. The position offers a hybrid work model in a dynamic startup environment.

Benefits

Visa sponsorship available

Qualifications

• Strong experience building and deploying ML models in production required.
• Previous leadership experience in a relevant field.
• Exposure to climate, insurance, or risk domains preferred.

Responsibilities

• Lead and grow the ML function by hiring new team members.
• Set the technical direction and ML roadmap for projects.
• Partner with science, product, and engineering teams.

Skills

Building and deploying ML models

Leadership experience

Geospatial or EO data exposure

Startup environment adaptability

Blending ML with physics/simulation

Job description

Overview

Do you want to lead a mission-driven ML team tackling real-world climate risks?

Are you excited by the challenge of combining machine learning with physical modelling?

Ready to take a strategic, hands-on leadership role at a fast-growing Series A startup?

We’re working with a climate risk intelligence platform that helps financial institutions, insurers, and asset managers assess the physical risks of climate change at a global scale. Serving some of the worlds largest consultancies and SaaS tech companies, the company recently raised £18M Series A and is growing rapidly to meet demand across regulated industries.

Responsibilities

• Lead and grow the ML function (2 MLEs today, hiring 2 more)
• Set technical direction and ML roadmap
• Partner with science, product, and engineering leadership
• Build hybrid ML systems that integrate physical climate models (e.g. flooding, wildfires)
• Deploy robust ML solutions into production environments

Qualifications

• Strong experience building and deploying ML models in production (MLE background essential)
• Previous leadership experience
• Exposure to geospatial or EO data, ideally in climate, insurance, or risk domains
• Comfortable in fast-paced, startup environments
• Experience blending ML with physics/simulation models a strong plus

Other Details

• Location: Hybrid – 3 days/week in Central London office
• Visa Sponsorship: Available

Please apply if interested.