Director of AI/ML

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Executive Recruiter - Global University Systems
Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
Were on the hunt for a bold, entrepreneurial, and pedagogy-driven product leader to help shape the future of learning. At GUS, were making a major investment in AI and online education, building a world-class team to drive innovation across our 31 institutions worldwide. This is your opportunity to be at the forefront of that transformation, leading the design and scale-up of intelligent, AI-powered learning experiences that make education more personalised, effective, and accessible. Co-develop and operationalise GUSs AI and automation strategy with a strong focus on pedagogical innovation
Translate research on learning science, personalisation, and adaptive systems into a commercial and scalable product vision
Collaborate with academic leaders, instructional designers, and faculty to ensure product alignment with educational best practice
Regularly report progress and insights to the Chief AI Officer and executive team
Lead the design and deployment of AI-powered learning products (e.g. adaptive learning platforms, automated assessment, intelligent tutoring systems)
Champion learning effectiveness and evidence-based pedagogy in all AI-driven initiatives
Build intelligent content pipelines, embedding GenAI tools into curriculum creation, feedback loops, and student support
Drive experimentation through MVPs, pilots, and learner testing cycles
Automation & Operational Scaling
Partner with operations, admissions, finance, and HR teams to identify high-value automation opportunities
Support deployment of intelligent automation tools that improve learner and staff experiences (e.g. AI chatbots, RPA, smart workflows)
Team Building & Culture
Help build and lead a cross-functional team of learning engineers, product managers, AI/ML researchers, and instructional designers
Promote a culture of experimentation, ethical AI practice, and learner-first thinking
Engage with global AI/EdTech partners, open-source communities, and academic institutions to stay at the cutting edge of the field
You're an AI expert with a pedagogical background who understands both the why and how behind transformative learning experiences. It is essential that you are an experienced AI expert in EdTech, learning design, product development, or AI-enhanced education delivery
A strong track record of building and scaling learner-centric digital products or platforms
Experience working with AI/ML systems especially GenAI, LLMs, automation, and learning analytics
Strong product leadership and agile delivery skills from research to roadmap to release
Familiarity with educational data standards, adaptive learning technologies, and privacy considerations
Experience collaborating with academic stakeholders, educators, and students to co-design solutions
Degree in Education, Learning Technologies, Computer Science, or a related field preferred but not essential
We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company.
Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Seniority level Director

Employment type Full-time

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Location:
London
Job Type:
FullTime

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