Geospatial ML Scientist: Remote Sensing & Earth Data in Guildford

Geospatial ML Scientist: Remote Sensing & Earth Data in Guildford

Guildford Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
NLP PEOPLE

At a Glance

  • Tasks: Develop machine learning models to transform satellite data into actionable insights.
  • Company: Join NLP PEOPLE, a forward-thinking team in Guildford, UK.
  • Benefits: Remote work flexibility and opportunities for professional growth.
  • Other info: Work on exciting projects like forest degradation estimation and biomass forecasting.
  • Why this job: Make a real impact on global commodity supply chains with cutting-edge technology.
  • Qualifications: Strong experience in machine learning and geospatial data analysis.

The predicted salary is between 60000 - 80000 Β£ per year.

NLP PEOPLE is seeking a Machine Learning Scientist to join the Science Team in Guildford, UK. You will develop models from classical statistics to deep learning to transform satellite and radar observations into actionable insights on commodity supply chains.

The ideal candidate will have strong experience in machine learning, especially with geospatial data, and will work on projects that include forest degradation estimation and biomass forecasting.

Geospatial ML Scientist: Remote Sensing & Earth Data in Guildford employer: NLP PEOPLE

NLP PEOPLE is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact critical projects in remote sensing and earth data. Located in Guildford, UK, we offer competitive benefits, a commitment to employee growth through continuous learning opportunities, and the chance to work on meaningful projects that address global challenges such as forest degradation and biomass forecasting.

NLP PEOPLE

Contact Details:

NLP PEOPLE Recruitment Team

We think you need these skills to ace Geospatial ML Scientist: Remote Sensing & Earth Data in Guildford

Machine Learning
Geospatial Data Analysis
Classical Statistics
Deep Learning
Satellite Observations
Radar Observations
Data Transformation