Lead Machine Learning Engineer (Safety)

<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><p style="min-height:1.5em"></p><h2><strong>About the role</strong></h2><h2></h2><p style="min-height:1.5em">As a Lead Machine Learning Engineer at Faculty, you’ll drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains. Bridging AI research and production impact, you’ll set the benchmark for engineering excellence and operationalise scalable ML infrastructure. </p><p style="min-height:1.5em"></p><p style="min-height:1.5em">Working alongside Frontier Labs, you will champion practical, safety-first AI frameworks, model capability evaluations, and multi-agent systems. You will act as a principal advisor to client leadership, mentor engineering talent, and steer cross-functional teams to solve critical, real-world AI challenges.</p><p style="min-height:1.5em"></p><h2><strong>What you'll be doing:</strong></h2><h2></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Steering technical strategy, system architecture, and rigorous capability testing for complex ML systems and Frontier AI models</p></li><li><p style="min-height:1.5em">Architecting production-grade, secure ML software, orchestration tools, and scalable cloud infrastructure</p></li><li><p style="min-height:1.5em">Establishing company-wide standards and best practices for safe, reliable, and ethical machine learning deployment at scale</p></li><li><p style="min-height:1.5em">Collaborating with cross-functional teams and executive stakeholders to translate high-impact client needs into resilient AI solutions</p></li><li><p style="min-height:1.5em">Advising senior clients and partners as a trusted AI safety and technical authority, articulating complex strategies clearly</p></li><li><p style="min-height:1.5em">Mentoring and developing engineering talent, actively elevating team capabilities and nurturing an inclusive, high-performing culture</p></li><li><p style="min-height:1.5em">Partnering with Frontier Labs to advance safety evaluation procedures, multi-agent harness tooling, and robust AI governance framework