Software Engineer (Machine Learning)

How can GenAI empower data-driven climate tech investments?

Location: London (2/3 days in office) | Field: Climate Tech investments | Focus: GenAI

We are searching for a Senior Software Engineer (ML) to join a high-impact start-up that is building AI-driven solutions to provide actionable intelligence used by investors, corporations, and governments to make data-driven investment decisions and capitalize on new opportunities within climate tech!

The role:

• Leverage AI, natural language processing, and machine learning models to extract, classify, and transform data effectively.
• Support the development and maintenance of the team's MLOps infrastructure, focusing on inference, performance evaluation, continuous improvement, and seamless integration with third-party APIs and services.
• Monitor and analyze the performance of machine learning models and data pipelines to identify opportunities for improved accuracy and coverage.

They're looking for someone with:

• Experience in LLMs, generative AI, or deep learning
• Proficiency in Python, PyTorch, and cloud infrastructure
• A background in data-intensive AI systems and scaling ML models in production

This is a high-impact role where you’d get to work on cutting-edge AI while making a real-world difference in sustainability.

Interested? Apply now!