Machine Learning Engineer (UK)

12 days ago

United Kingdom

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Job Description

Sust Global Careers

Careers

Join our team

Our talented global team are always on the lookout for incredible talent to help us achieve our goals. Our goal is to build the intelligent climate data solutions of the future. We work with the world's largest investors, data platforms, and consultancies enabling them to assess the changing face of risk in a rapidly changing world.

Jobs at Sust Global

Are you excited to work at the forefront of climate tech AI and the global economy? We'd love to hear from you.

Senior Climate Data Scientist (US)

  • **Job Type:** Full Time, Remote
  • **Location:** US
  • **Responsibilities:**
  • Leverage deep knowledge of climate and earth systems for insights to customers and strengthen core product offerings
  • Disseminate climate-related insights via visualizations, articles, and whitepapers
  • Work with complex data sets, solving non-routine analysis problems
  • Maintain and rethink existing datasets and pipelines
  • Build robust data sets for various analytic techniques
  • **Necessary Qualifications:**
  • Experience with climate modeling and large spatial datasets
  • Experience with analysis and validation of geospatial data
  • Experience developing and deploying machine learning models
  • Experience with Python, Git, and Linux command line
  • **Minimum Requirements:**
  • 2 years of experience in cloud native software products
  • Authorized to work in the US

Data Machine Learning Fellow (UK)

  • **Job Type:** Full Time, Hybrid
  • **Location:** UK
  • **Responsibilities:**
  • Work with large geospatial datasets, solving analysis problems
  • Conduct end-to-end ML analysis
  • **Desired Qualifications:**
  • Experience in PyTorch or TensorFlow
  • Training ML models on large datasets
  • Experience in geospatial data and climate
  • **Minimum Requirements:**
  • Pursuing MS/PhD in a quantitative discipline
  • Authorized to work in the UK

Data Machine Learning Fellow (US)

  • **Job Type:** Full Time, Hybrid
  • **Location:** US
  • **Responsibilities:**
  • Work with complex geospatial data sets, solving analysis problems
  • Conduct end-to-end ML analysis
  • **Desired Qualifications:**
  • Experience in PyTorch or TensorFlow
  • Training ML models on large datasets
  • Experience in geospatial data and climate
  • **Minimum Requirements:**
  • Pursuing MS/PhD in a quantitative discipline
  • Authorized to work in the US

Machine Learning Engineer (US)

  • **Job Type:** Full Time, Hybrid
  • **Location:** US
  • **Responsibilities:**
  • Work with large geospatial datasets, solving analysis problems
  • Conduct end-to-end product development
  • **Minimum Requirements:**
  • Authorized to work in the US

Sust Global


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Sust Global

Sust Global

United Kingdom, + 2 more location(s)

11 - 50

Sector: GHG management and carbon removal

About this company

Founders:Josh Gilbert

Revenue:US$ 1 - 5 million

Investors:Hambro Perks Ltd., Powerhouse Ventures, Thirdstream Partners, Vala Capital

Stage:Other

Website:sustglobal.com

Connect:

Our AI-powered geospatial platform empowers you to quantify climate-related risk and capture sustainable value. This enables you to understand, quantify and mitigate forward-looking losses, create new climate-resilient products, and go...read more

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