Senior AWS Engineer/Platform Engineer |

Data Engineer London (Hybrid) or Remote (UK) 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. Our exciting, impactful work is right at the cutting edge of AI, and at the epicentre of global climate action. 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. 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. 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 Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js 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 with DevOps/infrastructure/SRE, tools used for automation, CI/CD, infra-as-code, containerisation, orchestration 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. 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? A deep commitment to employee wellbeing, including policies such as 4 day workweek (same pay, Fridays off), unlimited annual leave, and a wellbeing allowance A vibrant, collaborative, empathetic work culture that thrives on innovation and the impact of our work Either remote working or in a hybrid work environment (2 days a week) in London’s leading climate tech hub, offering views of the river in London’s County Hall Building. If you require any accommodations due to a disability or specific need, please contact us. Opportunity to chat to other team members (this is not an interview, but gives you the opportunity to get to know the team and learn more about us in an informal setting) # 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?