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Senior Machine Learning Engineer
Faculty · London, England · Posted 14 days ago
"Lead architecture and deployment of production AI systems for energy utilities and clean-energy clients, owning ML standards across the business."
Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net-zero emissions and drive efficiencies for a new era of utility companies.
We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. We partner with a wide range of clients - from major energy operators, to GreenTech startups, and national infrastructure providers - to build solutions which return measurable impact and move us towards a smarter, cleaner, and more sustainable world.
As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards.
This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident client-facing skills.
WHAT YOU'LL BE DOING:
- Leading technical scoping and architectural decisions for high-impact ML systems
- Designing and building production-grade ML software, tools, and scalable infrastructure
- Defining and implementing best practices and standards for deploying machine learning at scale across the business
- Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
- Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth
WHO WE'RE LOOKING FOR:
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This role is one of 567 Machine Learning Engineer openings and centers on Machine Learning, Tensorflow, Pytorch, and Python. There are 88 open roles at Faculty right now.
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