At a Glance
- Tasks: Develop models for satellite and radar observations related to commodity supply chains.
- Company: NLP PEOPLE focuses on actionable insights in agriculture through advanced machine learning.
- Benefits: Exciting opportunity to significantly impact agricultural mapping and biomass estimation.
- Other info: Contribute to the entire model lifecycle in a remote work environment.
- Why this job: Join a team dedicated to transforming remote sensing data into valuable insights.
- Qualifications: Requires 3+ years of machine learning experience and proficiency in Python-based geospatial tools.
The predicted salary is between 60000 - 80000 £ per year.
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.
Remote Geospatial ML Scientist: Land-Use & Supply Chains in Peterborough employer: NLP PEOPLE
NLP PEOPLE is committed to leveraging machine learning for agricultural advancements. This remote position allows flexibility while working on impactful projects in land-use and supply chains. Join a team that values innovation and expertise in geospatial analysis.
