Machine Learning Engineer

• Work in the machine learning team as an individual contributor, building, testing and deploying our 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 the work packages required, as well as playing a significant role in the development of our wider product.
• Help establish best practices to improve our internal processes.

This role helps cut gigatonnes of carbon emissions from the world's biggest emitting industries by applying cutting-edge AI to optimize operations in real time, directly contributing to climate change mitigation.

• You have 1 or more years of experience as a machine learning engineer.
• You are familiar with several ML techniques, and have both theoretical ML knowledge and experience implementing different types of solutions.
• You are proficient in Python and have a good understanding of the ecosystem of tools and libraries supporting ML development (e.g., TensorFlow, PyTorch).
• You have experience working in a scientific environment across disciplines (particularly physics, chemistry, materials science, and engineering), either through previous roles or study.

• A competitive salary (£55k - £85k)
• Equity in the company
• Flexible working
• 30 days of holiday (plus bank holidays)
• A generous pension scheme

Carbon Re is on a mission to cut gigatonnes of carbon emissions from the world's biggest emitting industries (like cement, steel and glass) by applying cutting-edge AI where it matters most.