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Machine Learning - Remote Sensing Scientist at Revalue Nature
London, United Kingdom


Job Descrption

About

Revalue exists to deliver a fundamental step-change in the quality and integrity of carbon projects. We do this by rethinking projects from the ground up - slightly better is not good enough - in order to build confidence in the market and deliver impact at a planetary scale. Our world cannot afford anything less. This mission drives us every day.

Revalue Nature has raised $10 million in Series A funding to be the most innovative and trusted developer for nature on the planet. This new investment was co-led by Ecosystem Integrity Fund (EIF) and SJF Ventures, two leading venture firms focused on climate and impact. Join us on our journey to supercharge the world's leading nature-based developers, reset the bar for quality in the carbon market, and protect and regenerate nature at a scale that makes our eyes water.

What we do

Revalue supercharges the world's leading nature-based carbon projects developers. We provide them with the required technical support and competitive financing to go from the initial rapid assessment of potential project areas, to the first carbon credits issuance, and beyond. This is underpinned by our proprietary tech, which creates a step-change in accuracy, speed, automation, and level of insights.

Our team

Our global, diverse team sits across all time zones and has an exceptional track-record of designing and delivering high impact carbon projects globally. We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space. We offer great opportunities for our talent and we want this to be a place that allows you to do the best work of your life, while also focusing on balance outside of work.

The Machine Learning - Remote Sensing Scientist will be part of the Machine Learning and Remote Sensing team in Revalue. This role would be ideally based in London, but candidates in time zones GMT+-2 can also be considered.

Tasks

What are the main responsibilities of the role?

The role will include but not be limited to:

  • Develop and implement machine learning models for remote sensing data analysis, particularly for land cover change detection and classification. using radar, optical sensors, and high-resolution imagery.
  • Work with large remote sensing datasets to identify and analyse changes in land cover over time.
  • Interested in developing, deploying and monitoring production-facing machine learning systems.
  • Collaborate with other team members and stakeholders to identify research questions, design research studies, and implement solutions.
  • Develop and maintain documentation of code, methods, and results for transparency and reproducibility.
  • Keep up-to-date with the latest developments in remote sensing techniques and machine learning, particularly as they relate to land cover change.
  • Participate in project planning, execution, and reporting, including the preparation of technical reports, manuscripts, and presentations.
  • Provide training and support to other team members on remote sensing techniques and machine learning.

Requirements

What do we expect from you?

  • A love of nature; a strong affinity for the conservation and restoration of natural systems.
  • Mission, values and impact driven.
  • Experience in remote sensing data analysis, particularly in land cover change detection and classification using radar, optical sensors (e.g. Landsat and Sentinel), and high-resolution imagery.
  • Strong programming skills in Python, and experience with Familiarity with scientific libraries and frameworks such as Scikit-Learn, OpenCV, PyTorch, TorchGeo, TensorFlow, or Keras.
  • Extensive knowledge of remote sensing principles, including image processing, feature extraction, and classification.
  • Familiarity with land cover change challenges and environmental issues.
  • Experience in working with large datasets and distributed computing.
  • Evidence that you can work in remote teams, are a self-driver with a willingness to take initiative and committed to continuous improvement and consistent high-performance within a complex and fast-growing sector.
  • Resilience, and the ability to make difficult things happen.
  • Outstanding problem-solving skills and detail orientation.
  • Willingness to join an international, remote working team, travelling to various international settings as needed.
  • A proven ability to work effectively in diverse cultural settings.
  • Demonstrated results in effective delivery and day-to-day operational excellence.
  • An understanding of nature-based solutions is desirable but not a must.

Benefits

What do we offer?

  • Shared purpose, culture and values
  • Unbeatable work flexibility and balance (global team, remote working)
  • A truly diverse team of colleagues, partners and clients
  • An agile team, with unrivalled experience and track-record

HOW TO APPLY

We are actively hiring and want to hear from you. Please apply by attaching your resume and answering the following questions:

(a) How would you describe your strength(s) and areas of expertise? (1-2 paragraphs)

(b) Describe your key motivations for working in this sector (1 paragraph)

Revalue Nature Ltd is an equal opportunity employer that values diversity and encourages people of all ethnic & racial origins, gender identities, sexual orientations, religions & ideologies, socio-economic statuses, educational backgrounds, ages, and individuals of all abilities to apply.

Applicants must be legally authorised to work in their country of residence. Revalue is unable to sponsor or take over sponsorship of an employment visa at this time.


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