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For Companies At a Glance
- Tasks: Design innovative learning experiences that leverage AI to transform education.
- Company: Join Faculty, a leader in human-centric AI with a diverse and curious team.
- Benefits: Collaborative environment, professional growth, and the chance to work with brilliant minds.
- Why this job: Make a real impact on education by shaping AI-driven learning solutions.
- Qualifications: Strong background in learning sciences and experience in digital learning design.
- Other info: Dynamic role with opportunities to learn from experts across various fields.
The predicted salary is between 28800 - 48000 £ 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 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. Working at the intersection of learning science, product design, and data, you’ll turn cutting edge research into practical design guidelines to build systems that are not just engaging, but measurably effective at scale.
What you’ll 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 Faculty’s 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 we’re looking for:
- You have a strong foundation in learning sciences, instructional design, educational psychology, or a related field (advanced degree preferred).
- You’ve designed digital learning experiences and understand how to build effective user interactions in adaptive or AI-supported tools.
- You’re 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.
- You’re 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. 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.
Learning Engineer in City of London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 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 employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your learning design projects or any relevant work. This gives you a chance to demonstrate your expertise beyond what's on paper.
✨Tip Number 3
Prepare for interviews by understanding Faculty's mission and values. Be ready to discuss how your background in learning sciences aligns with their goals in AI and education.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Faculty team.
We think you need these skills to ace 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 Learning Engineer role. Highlight your experience in learning sciences and instructional design, and show us how your skills align with our mission at Faculty.
Showcase Your Projects: Include examples of digital learning experiences you've designed. We want to see how you've applied learning science principles in real-world projects, so don’t hold back on sharing your successes!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain complex ideas, especially around learning instrumentation and user interactions. We appreciate clarity!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Faculty
✨Know Your Learning Science
Brush up on your knowledge of learning sciences and instructional design. Be ready to discuss how these principles can be applied in AI-driven educational tools. Show them you understand the nuances of defining learning goals and creating effective user interactions.
✨Showcase Your Collaboration Skills
Prepare examples of how you've successfully collaborated with cross-functional teams, especially data scientists and engineers. Highlight specific projects where you specified evaluation metrics or designed telemetry flows, demonstrating your ability to bridge the gap between learning science and technical implementation.
✨Be Ready for Practical Scenarios
Expect to tackle practical scenarios during the interview. They might ask you to design a learning experience or evaluate a case study. Think through your approach to defining tasks, assessments, and feedback loops, and be prepared to articulate your thought process clearly.
✨Communicate Clearly and Confidently
Practice explaining complex concepts in simple terms. You’ll need to demonstrate that you can translate intricate learning-science ideas into actionable insights for product and engineering teams. Clear communication is key, so rehearse how you would present your ideas effectively.
