ML Scientist: Geospatial & Climate Intelligence

NLP PEOPLE; Bury; Remote; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Competitive compensation

Equity options

Meaningful benefits

Job summary

Treefera in the United Kingdom is seeking a Machine Learning Scientist to develop models that analyze satellite and radar data within global commodity supply chains. You'll engage in building lightweight models for tasks like commodity mapping and biomass estimation.

The role emphasizes collaboration with cross-functional teams in a high-growth environment dedicated to applying AI in climate technology.

Qualifications

• 3+ years of applied machine-learning experience.
• Hands-on experience training ML models using modern Python stack.
• Demonstrable experience with remote sensing data.

Responsibilities

• Design, train and evaluate ML models for commodity mapping.
• Build confident user workflows on top of ML models.
• Collaborate with Engineering to implement scalable pipelines.

Skills

Applied machine-learning experience

Expertise in geospatial Python tooling

Hands-on experience with ML models

Clear communication skills

Domain exposure to climate risk

Education

Degree in a quantitative field

Tools

Python

PyTorch

scikit-learn

Git

Job description

Treefera in the United Kingdom is seeking a Machine Learning Scientist to develop models that analyze satellite and radar data within global commodity supply chains. You'll engage in building lightweight models for tasks like commodity mapping and biomass estimation.

The role emphasizes collaboration with cross-functional teams in a high-growth environment dedicated to applying AI in climate technology.