National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Director of Learning

Kingston upon Thames
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Forward Deployed Data Scientist

Director of Machine Learning

Director, Machine Learning Science

Director, Machine Learning Science - Recommendations & Relevance

Director of Data Science & AI – Global Manufacturing Transformation

Associate Director of Artificial Intelligence

Are you ready to unleash the potential of AI to redefine student achievement?

At 2 Hour Learning, we're not content to merely adopt AI—we've encoded it into our DNA. We've re-engineered the learning experience from the ground up, harnessing AI and learning science breakthroughs to shatter the confines of the traditional school day. The result? Students who don't just meet the bar—they vault over it.

The proof of our approach is undeniable: students using our platform consistently achieve 4s and 5s on five or more AP exams, demonstrate more than two years' growth on yearly MAP assessments, and shatter their own expectations of what they can achieve. If you're energized by the opportunity to deliver transformative results at an unprecedented scale, 2 Hour Learning is where you belong.

You'll serve as the chief architect behind our revolutionary learning ecosystem for your dedicated school model, which spans multiple campuses. Fueled by an unwavering commitment to student success, you'll tap into the boundless potential of AI to craft hyper-personalized learning journeys that adapt to each student's unique needs, interests, and aspirations.

Your role will be a perfect blend of data-driven strategy and hands-on engagement. You'll dive deep into learning analytics, uncovering key insights to drive exponential growth. But you won't just crunch numbers from afar—you'll be on the front lines, working directly with students to understand their experiences, challenges, and triumphs. This firsthand knowledge will be invaluable as you pinpoint the specific motivational levers and pedagogical strategies to shatter achievement ceilings across all campuses.

You'll empower a dynamic team of learning engineers, data scientists, and instructional innovators to bring your vision to life. But more importantly, you'll be a champion for our students, ensuring that every decision, every innovation, and every strategy is laser-focused on improving their learning outcomes.

This is a once-in-a-generation opportunity to apply AI to education and fundamentally redefine what's possible. Armed with the predictive power of advanced learning analytics, the ability to A/B test pedagogical hypotheses at scale, and an institutional mandate to push boundaries, you'll blaze new trails daily.

Your canvas is vast, your toolkit unrivaled, and your mission critical. Because at 2 Hour Learning, we're not just using AI to boost grades—we're unlocking the full force of human potential, all without traditional classroom teachers.

If you're ready to harness the most disruptive technology of our time to transform the most essential building block of our society, this is your moment. Audacious thinking, rigorous execution, and an unyielding commitment to student outcomes required. Defenders of the status quo need not apply.

Join us on the frontlines of the AI revolution in education. Together, we won't just shape the future of learning—we'll create it.

For more information on 2 Hour Learning, visit our website [(url removed)] and the Future of Education Instagram page [(url removed)]. To see a school built around 2 Hour Learning, check out Alpha [(url removed)].

What you will be doing

Architecting and continuously enhancing an AI-driven learning ecosystem that measurably outpaces traditional education, backed by tangible gains in student achievement data

Engaging directly with students through virtual platforms to understand their learning experiences, challenges, and successes, using these insights to drive continuous improvement of the learning ecosystem

Mining learning platform data to surface actionable insights and design high-impact academic interventions leveraging AI/ML, learning science, and motivational best practices

Championing a culture of bold experimentation and evidence-based decision-making, harnessing data to unlock step-changes in students' growth trajectories

Partnering with platform engineering, data science, and design teams to translate academic insights and student feedback into seamless product enhancements

What you will NOT be doing

Repackaging traditional education in an AI wrapper. This isn't about replicating classroom instruction via screens – we're fundamentally reimagining learning from the ground up.

Analyzing data in isolation. You'll be expected to regularly engage with K-12 students, valuing their feedback as essential input from our paying customers.

Waiting for consensus to push boundaries. You'll champion a bold vision and rally others around data-driven results.

Sticking to conventional methods. You'll be free to experiment with innovative approaches to motivation, assessment, and instruction.

Fearing AI's impact on education. Here, you'll harness AI as an exciting tool to revolutionize learning, not as a threat to be mitigated.

Key Responsibilities

Drive innovation in AI-powered, teacher-less education to deliver exceptional student outcomes across multiple campuses. Blend data analytics with regular student engagement to continuously optimize our learning ecosystem, as measured by AP exam performance and MAP assessment growth.

Candidate Requirements

Master's degree or higher in Educational Science, Learning Science, Psychology, Psychometrics, Instructional Design, or a related field

Leadership experience in education or EdTech

Experience applying AI technologies in an educational or professional context

Experience designing and implementing AI systems for tasks such as content generation, data analysis, or adaptive learning

Strong understanding of learning science principles and data-driven educational approaches

Proven ability to communicate complex educational and technical concepts to diverse audiences

Experience leading cross-functional teams and managing complex projects

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.