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- Tasks: Design innovative learning systems that leverage AI to transform education.
- Company: Join Faculty, a leader in responsible AI with a focus on public good.
- Benefits: Enjoy unlimited annual leave, private healthcare, and flexible working options.
- Other info: Diverse team culture that values intellectual curiosity and positive impact.
- Why this job: Make a real impact on education by bridging learning science and technology.
- Qualifications: Strong background in learning sciences and experience in designing digital learning experiences.
The predicted salary is between 50000 - 60000 £ per year.
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
About the team: Our 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 reducing bureaucratic backlogs - 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 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 Interview Process: Talent Team Screen (30 minutes), Project Review (60 minutes), Case Study Interview (60 minutes), Meet the Team (30 minutes).
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
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
Learning Engineer in London employer: Faculty AI
Contact Detail:
Faculty AI 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 people in the industry, especially those at Faculty or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for your interviews by understanding the company’s mission and values. Show us how your passion for AI and education aligns with what we do at Faculty. It’s all about making that connection!
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! Bring examples of your past work, especially any projects related to learning systems or AI. We love seeing how you’ve applied your knowledge in real-world scenarios.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our team.
We think you need these skills to ace Learning Engineer in London
Some tips for your application 🫡
Show Your Passion for Learning Science: When you write your application, let your enthusiasm for learning science shine through! We want to see how your background and experiences align with our mission to transform education using AI.
Be Specific About Your Experience: Don’t just list your skills; give us examples of how you've applied them in real-world scenarios. Whether it’s designing learning systems or collaborating with UX teams, we love seeing concrete evidence of your expertise.
Tailor Your Application: Make sure to customise your application to reflect the specific requirements of the Learning Engineer role. Highlight your understanding of balancing learning principles with product constraints, as this is key to what we do at Faculty.
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, it shows you’re keen on joining our team!
How to prepare for a job interview at Faculty AI
✨Know Your Learning Science
Brush up on key concepts in learning science and instructional design. Be ready to discuss how these principles can be applied in real-world scenarios, especially in the context of AI and education. This will show your depth of knowledge and passion for the field.
✨Showcase Your Portfolio
Prepare to present your portfolio of digital learning experiences. Highlight specific projects where you balanced learning principles with product constraints. This will demonstrate your practical experience and ability to translate theory into effective design.
✨Understand the Metrics
Familiarise yourself with success metrics relevant to learning outcomes. Be prepared to discuss how you would define and measure mastery, engagement, and retention in your designs. This shows that you can make evidence-based decisions, which is crucial for the role.
✨Communicate Clearly
Practice translating complex academic concepts into simple, actionable insights. During the interview, aim to communicate your ideas clearly and concisely, especially when discussing how you would collaborate with UX and engineering teams. Strong communication skills are key!