Learning Engineer

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 youll 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 youll 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 youll be doing:

• Defining learning goals and skill models and breaking them down into scaffolded tasks assessments feedback loops and adaptivity logic.

• Designing instrumentation schemas (i.e. the events labels and outcomes we track) and setting metrics that link product use to learning outcomes like mastery or retention.

• Leading formative studies and collaborating on summative evaluations to validate learning impact.

• Working closely with UX data science and engineering teams to ensure learning-science principles are embedded in user flows and data pipelines.

• Contributing to Facultys Learning Engineering Playbook refining design principles checklists and measurement tools to support reuse and consistency across projects.

• Supporting cross-functional teams and clients in applying learning-science best practice through collaborative design sessions and informal coaching.

Who were looking for:

• You have a strong foundation in learning sciences instructional design educational psychology or a related field (advanced degree preferred).

• Youve designed digital learning experiences and understand how to build effective user interactions in adaptive or AI-supported tools.

• Youre comfortable designing and analysing learning instrumentation from A/B testing to formative or quasi-experimental studies.

• You can collaborate confidently with data scientists and engineers specifying evaluation metrics designing telemetry flows and ensuring data supports learning outcomes.

• Youre a clear communicator who can translate complex learning-science ideas into practical input for product and engineering teams.

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. Youll 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 youll learn something new from everyone you meet.