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- Tasks: Lead the design of innovative AI-powered education solutions and evaluate their effectiveness.
- Company: Join Faculty, a leader in human-centric AI transforming organisational performance.
- Benefits: Diverse team, intellectual growth, and the chance to work with brilliant minds.
- Why this job: Make a real impact on education through cutting-edge AI and learning science.
- Qualifications: Expertise in learning sciences and experience with adaptive digital learning systems.
- Other info: Dynamic environment with opportunities for professional development and collaboration.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Lead Learning Engineer in City of London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Learning Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with Faculty folks on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your expertise in learning sciences and AI-driven tools. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research Faculty’s projects and think about how your experience aligns with their mission. Be ready to discuss how you can contribute to their innovative work.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Faculty team.
We think you need these skills to ace Lead Learning Engineer in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Learning Engineer role. Highlight your experience in learning sciences and instructional design, and show how your skills align with our mission at Faculty.
Showcase Your Impact: When detailing your past projects, focus on the measurable outcomes you achieved. We want to see how your work has improved learning systems or educational tools, so don’t hold back on the numbers!
Be Authentic: Let your personality shine through in your application. We value diverse backgrounds and perspectives, so share your unique journey and what drives your passion for AI and education.
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. This way, we can easily track your application and ensure it reaches the right people at Faculty.
How to prepare for a job interview at Faculty
✨Know Your Learning Science
Make sure you brush up on your knowledge of learning sciences and instructional design. Be ready to discuss how these principles can be applied to AI-driven education solutions, as this will show your expertise and alignment with Faculty's mission.
✨Showcase Your Evaluation Strategies
Prepare to talk about your experience in designing and overseeing evaluations for digital learning systems. Highlight specific examples where you've measured learning impact and improved outcomes, as this is crucial for the role.
✨Collaborate Like a Pro
Since you'll be working closely with cross-functional teams, think of examples where you've successfully collaborated with product, data science, or engineering leads. This will demonstrate your ability to co-architect robust learning systems.
✨Communicate Effectively
Practice articulating your ideas clearly and confidently, especially when discussing complex concepts. Being able to influence senior stakeholders is key, so prepare to showcase your communication skills during the interview.
