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Machine Learning Engineer

2 months ago

United Kingdom NearTech Search Full time

ML Engineer / MLOps role:

My client is tackling a major environmental challenge: global ecosystem restoration. They are developing innovative solutions for nature credits and seek a skilled engineer to join their mission. Their team combines expertise in ecology and machine learning to address complex conservation issues.

Key Responsibilities

  • Develop and refine machine learning models using remote sensing and geospatial data.
  • Design and conduct tests to ensure model accuracy and reliability.
  • Collaborate with scientists to align tech solutions with environmental goals.
  • Apply causal inference and Bayesian methods to evaluate carbon projects.
  • Engage in collaborative coding and code reviews.
  • Stay current with advancements and integrate them into projects.
  • Mentor peers on best practices in machine learning and software development.

What They’re Looking For

  • Strong commitment to environmental conservation.
  • Proficiency in machine learning, Python, and frameworks like PyTorch.
  • Experience with geospatial tools such as Rasterio and Geopandas.
  • Knowledge of causal inference and Bayesian statistics.
  • Familiarity with remote sensing data, including optical and radar imagery.
  • Expertise in cloud platforms (e.g., Google Cloud, AWS) and MLOps.
  • Adaptable, curious, and skilled in communication.
  • Experience working effectively in a remote, diverse team.

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