- Build and enhance data ingestion pipelines and ML-driven extraction models that automate data collection and structure insights for end users.
- Work across backend (Python), frontend and cloud infrastructure to deliver features and ensure platform scalability.
- Utilise NLP, OpenAI’s API, and other AI tools to automate and and transform unstructured data sources into meaningful insights for sustainable decision-making, as well as working towards a natural language interface for their platform.Â
- Develop scalable architectures and CI/CD pipelines to ensure quality and rapid deployment of new features.
- Take responsibility for the platform’s end-to-end reliability and deployment, working closely with the engineering team to ensure best practices and technical integrity.
- Strong background in Python and hands-on experience with machine learning frameworks
- Proven experience in NLP, LLM models, or similar AI applications that support data extraction and automated data handling.
- Track record in full-stack development and infrastructure.
- Solid knowledge of data engineering best practices, working with both structured and unstructured data sources.
- Practical experience in DevOps and cloud infrastructure.
- Great communicator who enjoys working autonomously as well as collaboratively within a multi-disciplinary and talented team.
- Salary up to £130,000 with long-term incentives through stock options.
- Opportunity to work on a mission-focused platform directly supporting climate action and sustainable change.
- Flexible hybrid work policy of 1 – 4 days per month in the office.
- Comprehensive benefits including private health insurance, enhanced parental leave and more.