Posted:
11/25/2025, 12:18:03 AM
Location(s):
Greater London, England, United Kingdom ⋅ England, United Kingdom
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Hybrid
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.
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.
As a Learning Engineer at Faculty, you’ll help shape how AI transforms education. You’ll design the learning logic behind our most innovative education products defining goals, feedback, scaffolding, and adaptivity to drive significant improvements in learning outcomes.
Working at the intersection of learning science and product design, you’ll bridge the gap between academic research and real-world application, ensuring our tools are not just engaging, but measurably effective at scale.
Defining clear learning goals and skill models, then breaking them down into scaffolded tasks, feedback loops, and adaptivity logic for the product team.
Identifying what we need to measure (e.g., mastery, engagement, retention) and working with data teams to ensure our products track the right learning behaviors.
Leading user testing and formative studies to test early prototypes, and collaborating with data scientists to review performance data once live.
Acting as the voice of "Learning Science" within product teams—translating pedagogical principles into clear specifications for UX designers ,data scientists and engineers
Contributing to Faculty’s Learning Engineering Playbook—creating checklists, design patterns, and templates to support consistency across projects.
Supporting teams in applying learning science best practices through collaborative design workshops and guidance.
You have a strong background in learning sciences, instructional design, educational psychology, or a related field.
You understand how to balance learning principles with real product constraints (UX feasibility, technical constraints, timelines).
You have a portfolio of digital learning experiences and understand the constraints and opportunities of building software products (e.g., LMS, Apps, EdTech tools).
You are comfortable working with data. You understand how to define success metrics and can interpret reports to make evidence-based design decisions.
You’ve collaborated closely with UX / UXR teams and can translate learning logic into user flows, prototypes, and interaction patterns.
You are comfortable with experimentation (A/B tests, early prototype testing, formative evaluation)
You are a clear communicator who can translate academic concepts (like "cognitive load" or "zone of proximal development") into practical, actionable tickets for engineering and design teams
This is not a content-creation or e-learning production role. We are looking for someone with experience designing learning systems, not just courses.
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.
Website: https://faculty.ai/
Headquarter Location: London, England, United Kingdom
Employee Count: 251-500
Year Founded: 2014
IPO Status: Private
Last Funding Type: Non-equity Assistance
Industries: Artificial Intelligence (AI) ⋅ Consumer Electronics ⋅ Electronics ⋅ Information Technology ⋅ Machine Learning ⋅ Software