About Faculty
At Faculty, we transform organisational performance through safe, impactful and human-centric AI.
With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.
Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
About the team
Our Government and 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 protecting children from harmful online content - 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.
What we can offer you:
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
