Backend Machine Learning Engineer, Treefera
£60-80k
+ Equity + Bonus
1+ day a week in office
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
£60-80k
+ Equity + Bonus
1+ day a week in office
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
- Bachelor's or Master's degree in Computer Science, Engineering or a related field
- 5+ years of experience building backend systems or data pipelines in Python, with a focus on performance, scalability and maintainability
- Strong experience working with scientific or numerical computing libraries (numpy, pandas) and data engineering patterns (batch, streaming, ETL)
- Strong understanding of software engineering principles (modular design, testability, observability, CI/CD)
- Experience collaborating on system design, architecture decisions and trade-offs
- Ability to work autonomously within a team, driving initiatives end-to-end while communicating effectively
- Comfortable navigating ambiguity and proactively clarifying requirements
Desirable
- Experience with AWS cloud services (S3, Lambda, ECS, Athena, Glue, Step Functions, IAM)
- Experience working with geospatial data (GeoJSON, shapely, geopandas) and distributed datasets
- Experience designing data models and working with SQL and NoSQL databases (PostgreSQL/PostGIS, DynamoDB, etc)
- Exposure to infrastructure-as-code (Terraform) or containerisation (Docker)
- Experience with Typescript, to be able to read code
- Interest in machine learning operations (MLOps), model integration or data-driven products
What the job involves
- As a Backend/ML Engineer, you will play a critical role in scaling the data platform that powers Treefera's products and machine learning models
- You will design, build and optimise robust data pipelines that process large scientific and geospatial datasets — transforming research into production-grade systems.
- You will collaborate closely with our science, product, and platform teams to architect scalable backend solutions that meet both functional and non-functional requirements (performance, cost, reliability)
- This is a unique opportunity to work on technically challenging problems at the intersection of engineering, data, and science — shaping the future of a product with real-world sustainability impact
- Success in this role will be defined by your ability to lead technical design discussions, deliver well-structured and maintainable code, scale our data pipelines, and support the growth of best practices across the engineering team
- You are part of a cross-functional, feature-oriented team delivering end-to-end functionality
- You take ownership of data flows, backend components, and architecture decisions
- You help evolve our data platform and pipelines — balancing robustness, performance, and cost
- You contribute to improving our engineering practices — from testing to documentation to developer experience
- You collaborate closely with the science team to integrate models and ensure seamless data interoperability
- You participate in technical design discussions, contribute to our technical direction, and help mentor more junior engineers
- You work in Agile sprints, focusing on delivering business value iteratively
- You take part in the full lifecycle of development: from problem discovery to deployment, release notes, and demo
- You have fun along the way. We are doing something good and something cool. We are a friendly bunch. We have many social channels and events. There is no reason we can’t work hard and laugh at the same time!
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 (last 2 of 3 rounds)
Jun 2025
$30m
SERIES B
Apr 2024
$12m
SERIES A
Total funding: $44.2m
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
- Snacks and 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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