Remote Geospatial ML Scientist: Land-Use & Supply Chains

NLP PEOPLE; Peterborough; Remote; GBP 50,000 - 70,000; Full time

Job summary

NLP PEOPLE is looking for a Machine Learning Scientist to develop models that convert satellite and radar observations into actionable insights on commodity supply chains. The role involves working on agricultural mapping, biomass estimation, and contributing to the entire model lifecycle.

Applicants should have 3+ years of experience in machine learning, proficiency in Python-based geospatial tools, and a strong understanding of remote sensing data. The position offers an exciting opportunity to make a significant impact in the field.

Qualifications

• 3+ years of applied machine-learning experience.
• Expertise in geospatial Python tooling.
• Hands-on experience with deep learning models.

Responsibilities

• Design, train, and evaluate ML models for commodity mapping.
• Build embedding-driven workflows on EO foundation models.
• Partner with Engineering to scale inference pipelines.

Skills

Applied machine-learning experience

Expertise in geospatial Python tooling

Experience with remote sensing data

Deep learning with PyTorch

Git and cloud compute

Education

Degree in a quantitative field

Tools

rasterio

xarray

geopandas

AWS

Job description

NLP PEOPLE is looking for a Machine Learning Scientist to develop models that convert satellite and radar observations into actionable insights on commodity supply chains. The role involves working on agricultural mapping, biomass estimation, and contributing to the entire model lifecycle.

Applicants should have 3+ years of experience in machine learning, proficiency in Python-based geospatial tools, and a strong understanding of remote sensing data. The position offers an exciting opportunity to make a significant impact in the field.