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Geospatial Machine Learning Specialist

2 months ago

West Midlands, United Kingdom Harnham Full time
Job Opportunity: Geospatial Machine Learning Engineer

At Harnham, we are seeking a talented Geospatial Machine Learning Engineer to join our team. As a key member of our team, you will play a crucial role in developing innovative solutions that harness the power of machine learning to interpret vast amounts of remote-sensing data and deliver actionable insights.

Key Responsibilities:

  • Design and implement machine learning models tailored to remote sensing data.
  • Analyze and process large geospatial datasets to extract meaningful patterns and trends.
  • Develop and optimize algorithms for satellite imagery and other remote sensing technologies.
  • Integrate geospatial data with machine learning frameworks to solve complex problems.
  • Collaborate with cross-functional teams to design and deploy scalable solutions.
  • Stay up-to-date with the latest advancements in machine learning and remote sensing technologies.

Requirements:

  • Bachelor's or Master's degree in Geospatial Science, Computer Science, Data Science, or a related field.
  • Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
  • Proficiency in GIS software (e.g., ArcGIS, QGIS) and spatial data analysis.
  • Experience with remote sensing data processing and analysis (e.g., satellite imagery, LiDAR).
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in a collaborative, multidisciplinary environment.
  • Excellent communication skills, with the ability to convey technical information to non-technical stakeholders.

What We Offer:

  • Competitive salary and comprehensive benefits package.
  • Opportunity to work on pioneering projects with a global impact.
  • Access to cutting-edge technology and resources.
  • Professional growth and development opportunities.
  • A collaborative, innovative, and inclusive work environment.
  • Flexible work arrangements and a supportive team culture.

We are committed to creating a workplace that is inclusive, diverse, and equitable. If you are passionate about geospatial machine learning and want to be part of a team that is shaping the future of remote sensing, apply now and join us on this exciting journey.