Position / Role
Machine Learning Researcher
deep planet



   Job Type
Harwell, Oxfordshire
   Date Posted
January 10, 2019
   Position Expires
June 21, 2019
   Job Description

Our mission is to drive global sustainability through better decision making. To do that we are building the best computer vision team for satellite data analysis. We are looking for creative engineers and scientists who can take on new computer vision problems. 

Deep Planet’s focus is on leveraging satellite data for agriculture and oil and gas industries. Using neural networks, we have accurately identified vineyards in the world and measured plant stress. Other projects include oil and gas monitoring and water level predicting capability. We work with the world’s leading satellite companies and research organisations to deliver state-of-the-art solutions.

Deep Planet is backed by the European Space Agency BIC UK, Copernicus Incubation Programme along with other UK Government Innovation grants. We are rapidly expanding our presence in many market verticals with aim to develop commercial capabilities. 

Job Duties

  • Conduct research in the field of computer vision for satellite image analysis

  • Present the results of the team findings within the company and at external events

  • Collaborate with end user product owners to understand customer needs

Skills and Qualifications

  • Master level or equivalent experience in Computer Science, Machine Learning, Statistics, Applied Mathematics or similar disciplines

  • Excellent understanding of machine learning techniques and algorithms with strong emphasis on deep learning

  • Experience with common machine learning toolkits, such as Python (preferable), R and/or Java, excellence in at least one of these is essential for the position

  • Minimum three years of demonstrable practical experience working with machine learning algorithms

  • Experience of working in international teams is required

  • Experience of working in startups is desirable


Come join our world class team if you are not afraid to try new approaches and are looking to push the boundaries of innovation that can have global impact. 

All positions are part/full time and based in Harwell, UK or remote. 

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