Lead Learning Engineer

Faculty AI; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading AI technology company is seeking a Lead Learning Engineer to design and evaluate learning systems grounded in learning science. You will lead flagship education projects, create best practices for feedback loops, and mentor colleagues. The ideal candidate has proven experience in digital learning systems, strong communication skills, and an ability to influence product strategy. This role offers hybrid working with significant flexibility in working hours.

Benefits

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility

Sanctus Coaching

Responsibilities

• Lead the design of learning goals and adaptivity systems.
• Create and own the Learning Engineering Playbook.
• Design and oversee product evaluations to improve outcomes.
• Collaborate with teams to co-architect learning systems.
• Mentor Learning Engineers and apply learning science principles.
• Act as a subject matter expert in learning science.

Skills

Learning sciences

Instructional design

Cognitive science

Behavioural science

Digital learning systems

Data instrumentation

Evaluation strategies

Communication

Job description

Why Faculty

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then weve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We dont 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 were 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 youll be empowered to envision its most powerful applications and to make them happen.

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 youll 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 youll be doing :

• Leading the design of learning goals skill models adaptivity logic and feedback systems across flagship education projects.
• Creating and owning Facultys 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 were looking for :

• You have expert-level knowledge of learning sciences instructional design and cognitive or behavioural science.
• Youve 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.
• Youre an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science.

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. Were 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 dont 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.

Key Skills

• Aerospace Engineering
• Data Entry
• Business Management
• Flexcube
• Contract

Employment Type : Full-Time

Experience : years

Vacancy : 1