Machine Learning Engineer

• Work in the machine learning team as an individual contributor, building, testing and deploying models.
• Contribute to technical innovation and problem-solving across the machine learning lifecycle.
• Collaborate with the product team on customer projects, planning, designing and delivering work packages.
• Help establish best practices and contribute to the design of robust, maintainable, and scalable ML systems.

This role directly contributes to cutting gigatonnes of carbon emissions from heavy industries like cement, steel, and glass by applying cutting-edge AI to optimize operations in real time, reducing costs and carbon today.

• 2+ years of experience as a machine learning engineer.
• Proficient in Python and familiar with ML libraries (e.g., scikit-learn, PyTorch).
• Experience working in a scientific environment across disciplines (physics, chemistry, materials science, engineering).
• Passionate about making a positive impact on climate change mitigation.

Equity in the company (share options), flexible working, 30 days of holiday plus bank holidays, generous pension scheme.

Carbon Re is on a mission to cut gigatonnes of carbon emissions from the world's biggest emitting industries (cement, steel, glass) by applying cutting-edge AI. They offer SaaS products that help heavy industry optimize operations in real time, cutting costs and carbon.