Geospatial ML Scientist for Satellite Analytics

NLP PEOPLE; Armagh; Remote; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive compensation

Equity options

Benefits including professional development space

Job summary

NLP PEOPLE is hiring a Machine Learning Scientist to join their Science Team, contributing to models that analyze satellite and radar data in global supply chains. Critical responsibilities include developing ML models and collaborating with engineering on production pipelines.

Applicants should have a degree in a quantitative field and relevant experience in machine learning and geospatial tools. The role offers an opportunity to work on meaningful climate-tech initiatives within a cross-functional team.

Qualifications

• 3+ years of applied machine-learning experience, including time spent in an industry.
• Hands-on experience training, evaluating, and debugging ML models.
• Clear written and verbal communication skills.

Responsibilities

• Design, train and evaluate ML models for mapping and classification.
• Build embedding-driven workflows using Earth observation models.
• Partner with Engineering to implement scalable inference pipelines.

Skills

Applied machine-learning experience

Expertise in geospatial Python tooling

Remote sensing data experience

Communication skills

Education

Degree in a quantitative field

Tools

PyTorch

scikit-learn

Git

Job description

NLP PEOPLE is hiring a Machine Learning Scientist to join their Science Team, contributing to models that analyze satellite and radar data in global supply chains. Critical responsibilities include developing ML models and collaborating with engineering on production pipelines.

Applicants should have a degree in a quantitative field and relevant experience in machine learning and geospatial tools. The role offers an opportunity to work on meaningful climate-tech initiatives within a cross-functional team.