At a Glance
- Tasks: Design innovative learning systems that transform education through AI.
- Company: Join a forward-thinking team at Faculty, shaping the future of learning.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Why this job: Make a real impact on education while collaborating with diverse, curious minds.
- Qualifications: Strong background in learning sciences and experience in designing learning systems.
- Other info: Open to diverse applicants and flexible working arrangements.
The predicted salary is between 36000 - 60000 £ per year.
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.
What you'll be doing:
- 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.
Who we're looking for:
- 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.
Our Recruitment Ethos
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - Please know we are open to conversations about part-time roles or condensed hours.
Learning Engineer in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work in learning design and engineering. Make it easy for potential employers to see what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by practising common questions related to learning science and product design. Be ready to discuss your past projects and how they align with the role of a Learning Engineer at Faculty.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to transform education with AI.
We think you need these skills to ace Learning Engineer in London
Some tips for your application 🫡
Show Off Your Learning Science Skills: Make sure to highlight your background in learning sciences or instructional design. We want to see how you can bridge the gap between theory and practice, so share examples of your work that demonstrate this!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and how it relates to the role.
Tailor Your Portfolio: Your portfolio should reflect your best work in designing learning systems, not just courses. Make sure it showcases your understanding of user flows and interaction patterns relevant to our products.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Faculty
✨Know Your Learning Science
Brush up on key concepts in learning science, instructional design, and educational psychology. Be ready to discuss how these principles can be applied to real-world product constraints, as this will show your understanding of the role's requirements.
✨Showcase Your Portfolio
Prepare to present your portfolio of digital learning experiences. Highlight specific projects where you designed learning systems, focusing on how you balanced learning principles with UX feasibility and technical constraints.
✨Data-Driven Decisions
Familiarise yourself with success metrics and how to interpret performance data. Be prepared to discuss examples of how you've used data to inform design decisions, as this is crucial for the role.
✨Communicate Clearly
Practice translating complex academic concepts into practical terms. During the interview, aim to demonstrate your ability to communicate effectively with UX designers and engineers, ensuring they understand the learning logic behind your designs.