Director of Machine Learning

1 Days Old

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Managing Consultant - AI, Computer Vision and Robotics at Harnham

Director of Machine Learning & AI

London – Hybrid (3 days in office)

Up to £125,000 + strong Equity

About the Role

A fast-scaling climate tech company backed by investors is looking for a Director of AI & ML to lead the development of advanced machine learning solutions that help global banks, insurers, and real estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting.

Key Responsibilities

Own and evolve the company’s AI & ML strategy in line with product and customer priorities
Lead, mentor, and grow a high-performing team of ML Engineers
Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling
Collaborate with Science and Engineering to integrate ML with physics-based climate models
Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams

Your work will focus on delivering high-value insights and solutions, including:

Building models to project the impact of floods, cyclones, heat stress etc
Leveraging satellite imagery and remote sensing for climate hazard detection
Enhancing time-series forecasts to inform asset-level risk planning
Combining simulation outputs with ML for hybrid physical + statistical modelling

What We’re Looking For

Proven leadership and strong hands on experience - targeting those at Lead/Principal level taking a step up
Proven track record of deploying ML into production environments
Depth in at least one of: generative AI, geospatial ML, computer vision, or forecasting
Experience working with climate data (or similar)
Excellent communication skills and cross-functional collaboration ability
Experience working in start ups/ scale ups.

Bonus Points

Experience with satellite imagery or other Earth-observation data
Exposure to climate risk, catastrophe modelling, or environmental data
Familiarity with physics-informed ML or simulation-driven techniques
Background in regulated or data-sensitive industries

If this role looks of interest, please apply below.

Seniority level

Seniority level
Not Applicable

Employment type

Employment type
Full-time

Job function

Industries
Climate Data and Analytics and Climate Technology Product Manufacturing

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