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.

• 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.
• 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.

What experience you’ll need to apply

• 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.

What you’ll get in return for your experience

• 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.

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.