Platform Engineer

Climate Policy Radar; United Kingdom; Hybrid; GBP 60,000 - 75,000; Full time

Job summary

Join a mission-driven organization at the forefront of climate action and AI. As a Data Engineer, you will help build critical infrastructure for data and machine learning, supporting impactful tools for climate policy. With a commitment to employee well-being, enjoy a 4-day workweek and unlimited leave in a vibrant, collaborative environment. This role offers the chance to work on cutting-edge projects that directly influence climate decisions, making a real difference in the world. If you're passionate about technology and climate change, we want to hear from you!

Benefits

4-day workweek

Unlimited leave

Wellbeing allowance

Flexible working environment

Qualifications

• Experience in building scalable data pipelines and infrastructure.
• Strong background in machine learning and data science.

Responsibilities

• Develop and maintain data infrastructure for climate tools.
• Collaborate with teams to enhance data processing capabilities.

Skills

Python

Data Modelling

MLOps

Cloud Infrastructure

System Design

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Tools

AWS

Docker

GitHub

Grafana

PyTorch

Job description

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London (Hybrid) or Remote (UK)

Up to £75k | 4-day workweek | | Unlimited leave

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.

Role Overview:

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
• Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring
• Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases
• Frontend: React, Next.js

Key skills and experience:

• 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.

Salary and Benefits:

• Salary: Up to £75k pa DOE
• 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.

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)
• 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)
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development, Technology, Information and Internet, and Climate Data and Analytics

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