Machine Learning Engineer, Treefera
£65-75k
1-3 days a week in office (St Katharine's Dock, London)
AI-enabled data fabric that synthesizes and originates insights on the first mile
Be an early applicant
AI-enabled data fabric that synthesizes and originates insights on the first mile
21-100 employees
Be an early applicant
£65-75k
1-3 days a week in office (St Katharine's Dock, London)
21-100 employees
Company mission
To provide the data products and workflow needed to deliver continuous monitoring, assurance and risk evaluation to its clients.
Role
Who you are
- Strong background in Machine Learning, Computer Vision, or Applied Statistics
- Proficiency with Python scientific stack: numpy, pandas, scikit-learn,, PyTorch, etc
- Familiarity with version-controlled, reproducible workflows (cloud compute, Git)
- Familiarity with building and backtesting models
- Excited by building practical solutions, rapid iteration, and real-world problem-solving
Desirable
- Experience with geospatial techniques (rasterio, xarray, geopandas, GDAL) and remote sensing data (optical, radar, LiDAR) and geospatial analysis at scale
- Experience with time series classification, change detection, or anomaly detection in ecological or environmental data
What the job involves
- Design and implement scalable ML models for geospatial data analysis to provide insight into the first-mile of supply chains
- Use remote sensing datasets (e.g., Sentinel-1, Sentinel-2, GEDI) to fuse multi-modal data sources for predictive modeling
- Develop time-series models for detecting environmental change
- Work with Python-based geospatial workflows (e.g., rasterio, geopandas, scikit-learn, XGBoost, PyTorch) and contribute to the team git repository
- Collaborate with the engineering team to turn outputs into pipelines that deliver actionable insights to our platform and customers, ensuring scientific robustness and real-world relevance
Application process
- Cultural interview (30mins)
- Technical interview (60mins)
- Meet the team (30mins)
- Founder interview (30mins)
Salary benchmarks
Our take
Nature-based assets are increasingly vital for decarbonising the economy, as they are the most efficient means of removing carbon dioxide from the atmosphere. However, the lack of accessible, understandable, and trustworthy data hinders enterprises from investing in these assets at the necessary scale. This issue, along with regulatory changes like the EU Deforestation Regulation (EUDR) and the demand for supply chain transparency, is creating a positive tipping point that underscores the need for reliable nature-based data solutions.
Treefera is an AI-enabled data fabric platform that enhances transparency and accuracy in nature-based asset reporting. It provides 360-degree visibility into the first leg of commodity supply chains by integrating satellite, drone, and ground truth data via advanced AI algorithms. Working across commodities and carbon capture, it collates and organises large data sets into actionable, risk-mitigating insights. Treefera provides essential data products and workflows for continuous monitoring, assurance, and risk evaluation at a fraction of the computing power used in other AI tools and makes previously unseen information concerning real-world assets transparent, usable and defensible.
Serving a diverse clientele, including project developers, biochar producers, carbon credit market players, and bioenergy companies, Treefera covers jurisdictions across multiple regions and over 500 registered forest projects and harvest sites. The platform consolidates extensive environmental and forestry data and integrates with client analytics through an API, ensuring seamless access to critical information. As a global enterprise with operations in the US, UK, Europe, LATAM, and Asia, Treefera is committed to making the true power of nature-based solutions visible to all.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Employee endorsements
Intelligent people
"It takes both solid theoretical knowledge and pragmatism to build a first-class product with limited resources in a start up. Spend too much time on..."
Funding (2 rounds)
Apr 2024
$12m
SERIES A
Sep 2023
$2.2m
SEED
Total funding: $14.2m
Company benefits
- Unlimited leave
- Company Macbook
- Quarterly team activities
- Medical insurance (including optical & dental)
- Pension scheme
- Group life insurance
- Group income protection
- Cycle to work scheme
- Flexible working hours
- Breakfast , snacks, drinks in office
Company values
- Curious
- Rigorous
- Frugal
- Emersed
Company HQ
London, UK
Articles
Leadership
Jonathan Horn
(Co-Founder & CEO)Former Managing Director at J.P. Morgan and Citi - driving digital innovation globally. Experience in implementing data mesh to support a distributed, data-driven organisation.
Caroline Grey
(Co-Founder & CRO)Previously a Chief Customer Officer at UiPath. She has experience scaling a tech start-up to $1bn in revenue and has IPO-ed at $70b valuation.
Diversity, Equity & Inclusion at Treefera
- At Treefera, we are committed to building a diverse, equitable, and inclusive workplace. We believe that a variety of perspectives and experiences drives innovation and enhances our ability to address complex environmental challenges. Our mission to bring transparency and accuracy to nature-based asset reporting is strengthened by a team that reflects the diverse world we serve. We welcome individuals from all backgrounds and identities, recognising that inclusivity fosters creativity and resilience. We strive to create an environment where every team member feels valued, supported, and empowered to contribute fully. Through equitable practices and continuous learning, we aim to ensure that all employees have the opportunity to thrive and grow. At Treefera, diversity, equity, and inclusion are not just principles; they are integral to our success and our impact on the planet.
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