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Senior Machine Learning Engineer

Faculty · London · posted 2026-10-24
<h2><strong>Why Faculty? </strong></h2><p style="min-height:1.5em"><br />We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact <a target="_blank" rel="noopener noreferrer nofollow" href="https://faculty.ai/impact">here</a>.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.</p><h2><br /><strong>About the team </strong></h2><p style="min-height:1.5em"></p><p style="min-height:1.5em">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.</p><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><p style="min-height:1.5em">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.</p><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><h2><strong>About the role</strong></h2><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><p style="min-height:1.5em">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.</p><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><p style="min-height:1.5em">This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident client-facing skills.</p><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><h2><strong>What you'll be doing:</strong></h2><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Leading technical scoping and architectural decisions for high-impact ML systems</p></li><li><p style="min-height:1.5em">Designing and building production-grade ML software, tools, and scalable infrastructure

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