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    Remote Machine Learning Engineer - London, United Kingdom - Techforgoodjobs

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    Description
    Sylvera provides carbon data for genuine climate impact.

    Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero.

    We produce the most accurate and trusted data about the carbon markets so that businesses and governments can confidently invest in, deliver, and report on real climate impact.

    Some of the world's largest corporations, consultancies, and financial services institutions rely on Sylvera for their climate investment decisions.
    Our team is made up of the leading minds in climate change from scientists to academics.

    We work in partnership with scientific organisations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology.

    Having found early product-market fit in a nascent, rapidly growing space, we're now scaling our Machine Learning team at pace.

    We're looking for a mission-driven engineer to join our cross-functional machine learning team.
    Working on high-impact projects and innovating new solutions to problems in the earth observation space and machine learning.

    • Working closely with other machine learning engineers, MLOps and remote sensing engineers to process data from various satellite & Geospatial sources
    • Develop cutting edge machine learning models and algorithms operating on remote sensing data.


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