Senior Software Engineer (ML)

Be at the Forefront of Climate Innovation

Build AI-Driven Tools for Climate Action and Sustainable Impact

We're excited to bring on board a talented Software Engineer for a rapidly growing climate intelligence company. This role offers a unique opportunity to join a dedicated team developing a platform that enables sustainable investment decisions through AI, data science and advanced engineering. Here, you'll join a team that blends AI with industry insights to empower corporations, investors, and policy-makers. This role is perfect for software engineers skilled in ML/MLOps who want to use their talents to make an impact on the global climate challenge.

What you'll be doing

In this dynamic, delivery-focused role, you'll work across the full stack of the climate intelligence platform, combining software engineering with ML model implementation to create transformative, data-driven tools.

1. Build and enhance data ingestion pipelines and ML-driven extraction models that automate data collection and structure insights for end users.
2. Work across backend (Python), frontend and cloud infrastructure to deliver features and ensure platform scalability.
3. Utilise NLP, OpenAI's API, and other AI tools to automate and transform unstructured data sources into meaningful insights for sustainable decision-making, as well as working towards a natural language interface for their platform.
4. Develop scalable architectures and CI/CD pipelines to ensure quality and rapid deployment of new features.
5. 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.

What experience you'll need to apply

1. Strong background in Python and hands-on experience with machine learning frameworks.
2. Proven experience in NLP, LLM models, or similar AI applications that support data extraction and automated data handling.
3. Track record in full-stack development and infrastructure.
4. Solid knowledge of data engineering best practices, working with both structured and unstructured data sources.
5. Practical experience in DevOps and cloud infrastructure.
6. Great communicator who enjoys working autonomously as well as collaboratively within a multi-disciplinary and talented team.

What you'll get in return for your experience

1. Salary up to £130,000 with long-term incentives through stock options.
2. Opportunity to work on a mission-focused platform directly supporting climate action and sustainable change.
3. Flexible hybrid work policy of 1 - 4 days per month in the office.
4. Comprehensive benefits including private health insurance, enhanced parental leave and more.

What's next?

If you want to drive change in the climate tech sector and contribute to a data-driven, impactful platform, apply now to join a team of like-minded engineers and take the next step in your ML engineering career.