About us
Climate Policy Radar is on a mission to help people access and understand long climate documents. Nearly 350,000 users from over 100 countries already use our open databases and AI-based research tools to search through 500,000+ pages of climate documents from around the world.
We care deeply about creating trustworthy tools that have a real impact on climate decisions. Our exciting, impactful work is right at the cutting edge of AI, and at the epicentre of global climate action. In 2025, we are bringing in and structuring even more climate documents, improving our search and synthesis functionality, and making it easier for people to make sense of the evidence they need for better, faster climate decisions.
We are a not-for-profit startup, with a team of ~30 technologists and climate policy experts who care a lot about the ‘how’ (our values and culture) as well as the ‘what’. As part of that, we have embraced a flexible, hybrid approach to work, including a 4 day workweek.
Roles and responsibilities
We are looking for a Data Engineer to join our Platform team. Working with the existing team of three engineers and collaborating with the data science and application teams. In this role, you will help build and improve the data and machine learning infrastructure supporting our R&D and production platforms of high-impact tools and products for global climate law and policy, already serving 330,000 users annually and opening up 500,000 pages of climate documentation.
Some examples of what you will work on:
Pipelines for training and deploying bespoke classifiers for identifying structure in our unstructured document datasets
Building out the infrastructure to serve our knowledge graph at scale across our product portfolio
Productionising our generative AI workstreams to support deploying and leveraging open source large language models
Building infrastructure and tooling for enabling internal teams, by scaling our data infrastructure, optimizing for reliability and cost, or improving our search service
Tech Stack:
Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring
Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases
Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3
Frontend: React, Next.js
You bring with you:
Experience using Python
Experience with data modelling, and building data infrastructure
Experienced in MLOps and building scalable data pipelines for ingestion and document processing
Experience in at least one area of data science we work on: knowledge graphs, information retrieval, text classification, generative AI
Experience working with machine learning models in production systems
Experience using and maintaining cloud infrastructure
Experience with DevOps/infrastructure/SRE, tools used for automation, CI/CD, infra-as-code, containerisation, orchestration
Experience with system design, working on system architecture or making technical decisions, whether individually or with a team
Extensive knowledge of different data stores, and formats
Solid understanding of software engineering fundamentals, version control, observability, unit and integration testing
Our ideal candidate will champion engineering excellence, open source, enabling internal users and creating delightful user experiences.
We are looking for candidates with significant experience in highly collaborative cross-functional teams, excitement about working in a startup/scaleup environment and all that brings.
We are a mission driven organisation, and work best with people who have strong alignment with our values. We care about them deeply.
We actively encourage applicants from diverse and historically underrepresented backgrounds. Not sure if you tick all the boxes but feel like you align with our values, are excited about working in Climate Change and AI and have the potential to do well in the role? Click apply! We’d love to hear from you.
Interview process
We know that applying for a new job can be full of uncertainties - and we aim to reduce those by communicating clearly. Our process is made of several stages (see below). After each stage, we’ll contact you as soon as we can and no longer than 2 working days, to let you know if you will be progressing to the next stage.
We also ensure all applicants are assessed fairly through structured interviews and diverse hiring panels.
We are committed to making our recruitment process inclusive and accessible. If you require any accommodations due to a disability or specific need, please contact us.
Process:
1 hour behavioural interview with the Chief Technical Officer and one other team member
1.5 hour interview with two team members, consisting of a paired technical assessment
1 hour system design interview with two team members (senior only)
30 minutes values fit interview with CEO and Head of People (in person)
Offer subject to references
Right to Work in the UK
Unfortunately, we are currently unable to sponsor work visas. Only applicants legally authorised to work in the UK will be considered.
Equal opportunities
At Climate Policy Radar, We are committed to fostering a workplace that is inclusive and equitable. Climate Policy Radar welcomes applicants from all backgrounds and does not tolerate discrimination in any aspect of employment. We actively work to ensure equal opportunities for all, regardless of heritage, ancestry, national origin, citizenship, religion, sex, sexual orientation, gender identity, age, disability, relationship choices, or criminal history, in line with legal requirements. We also consider qualified applicants regardless of criminal histories, in line with legal requirements.
Not sure if you tick all the boxes but feel like you align with our values, are excited about working in Climate Change and AI and have the potential to do well in the role? Click apply! We’d love to hear from you.
To apply, please send a CV and a cover letter telling us why you’d be excellent for this role to jobs@climatepolicyradar.org.