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
At JPMorganChase, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As an Applied AI ML Lead in Payments, you will not only have the chance to make a significant impact on global finance but also benefit from extensive career growth opportunities and mentorship within a diverse team. Our commitment to excellence and continuous learning ensures that your unique perspective is valued, making this an ideal environment for those looking to push the boundaries of technology in a meaningful way.
