Join a mission-driven team applying cutting-edge AI to decarbonize the world’s heaviest-emitting industries. You will develop supervised learning models and soft sensors to optimize real-time operations in cement and steel plants. This role bridges fundamental ML research and production-grade engineering to achieve measurable, gigatonne-scale reductions in global carbon emissions.
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Machine Learning Engineer Physical Systems at Carbon Re
Are you ready to use your ML expertise to tackle the climate crisis at a gigatonne scale? Carbon Re is looking for a Machine Learning Engineer to build AI that optimizes the world's most carbon-intensive industries, starting with cement and steel. You'll work at the fascinating intersection of physics and machine learning, developing surrogate models and soft sensors that drive real-world efficiency. With a production-ready platform already being deployed by global industrial leaders and a culture built on 'Concrete Honesty,' this is a rare opportunity to see your code directly reduce global CO2 emissions.
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Location
London, United Kingdom
Compensation
£55k-£85k + Equity
Company
Carbon Re
Role overview
SoftwareLondon, United KingdomSeed (VC-backed)
Carbon Re is an Industrial AI company on a mission to cut carbon emissions at gigatonne scale, starting with cement - the largest industrial emitter, responsible for 8% of global CO2. Our AI-powered software is already helping the world’s leading producers decarbonise profitably by cutting fuel use, improving quality, and lowering costs without Capex - proving that decarbonisation and profitability can go hand in hand.
Backed by Planet A Ventures, Clean Growth Fund, UCL Technology Fund, Cambridge Enterprise, University of Cambridge Enterprise Fund, Blue Impact Ventures, Innovate UK (grant support).
What you will do
- Build supervised learning and surrogate models for time series prediction and real-time process optimization in energy-intensive manufacturing facilities.
- Design and deploy robust MLOps pipelines using Docker and MLflow to handle noisy, large-scale industrial sensor data across multiple plants.
- Collaborate with process engineers to integrate thermodynamic constraints and conservation laws into hybrid ML models for improved reliability.
Who this is a fit for
- Strong background in supervised ML for time series modeling, regression, and classification applied specifically to physical or industrial systems.
- Proven experience deploying production models with CI/CD, monitoring, and handling real-world data issues like drift and missing values.
- Expertise in the Python stack (PyTorch/TensorFlow, scikit-learn) and the ability to translate chemical or process engineering knowledge into model design.
Why this role is remarkable
- Tangible climate impact: Your models directly reduce millions of tonnes of CO2 emissions by optimizing high-temperature industrial processes at scale.
- Technical innovation: Work at the intersection of ML and physics, utilizing graph neural networks, state-space models, and physics-informed neural networks.
- Strong commercial traction: Deploy solutions already used by global leaders like Heidelberg Materials through a strategic partnership with industrial giant ABB.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Carbon Re wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.