About the role
Why Faculty? 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 here . 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. 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. 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.
About
the team Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.
About
the role As a Lead Learning Engineer at Faculty, you’ll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Leading the design of learning goals, skill models, adaptivity logic, and feedback systems across flagship education projects. Creating and owning Faculty’s Learning Engineering Playbook, defining best practices for scaffolding, feedback loops, measurement rubrics, and data instrumentation (i.e., how we track learning progress through user interactions). Designing and overseeing rigorous evaluations including formative, summative, and quasi-experimental studies to test product effectiveness and improve learning outcomes. Collaborating with product, data science, and engineering leads to co-architect learning systems that are technically robust and pedagogically sound. Coaching and mentoring Learning Engineers and cross-functional colleagues (PM, UX, DS) to apply learning science principles in day-to-day product decisions. Acting as the internal and external subject matter expert on learning science, representing Faculty in strategic conversations with senior clients. Who we're looking for: You have expert-level knowledge of learning sciences, instructional design, and cognitive or behavioural science. You’ve led the design and evaluation of complex digital learning systems, especially adaptive or AI-driven tools at scale. You bring deep expertise in defining data instrumentation and running robust evaluation strategies to measure learning impact (e.g., mastery, retention, transfer). You can partner confidently with data scientists and engineers to design adaptive systems and telemetry pipelines rooted in pedagogy. You’re an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science. Our Interview Process Talent Team Screen (30 minutes) Project Review (60 minutes) Case Study Interview (60 minutes) Culture and Leadership (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout