We’re on a mission to provide equitable access to economic opportunity, for everyone.
We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing high-potential individuals both inside and outside of a company's current workforce and then we create applied, guided and equitable learning programs, with measurable impact. Because we believe the world needs a better way to match its potential.
We work with over 1,500 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we’ve trained over 16,000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters, together.
Join Multiverse and help us set a new course for work.
About the role
The AI Technical Lead (known as Domain Lead internally) at Multiverse will drive the development and delivery of AI apprenticeship programmes by enhancing technical expertise among coaches, integrating AI innovations internally, and ensuring high-quality learning experiences. This role involves cross-functional collaboration, onboarding support, AI programme development, and stakeholder engagement to improve apprenticeship outcomes and advance AI education.
What You’ll Do:
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Plan and facilitate Technical CPD for your programmes in collaboration with the Technical Enablement Principal. You will be responsible for the development of the technical expertise of Coaches in your programmes.
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Identify opportunities to implement cutting edge AI internally. Drive engagement with AI across the organisation through training and events, including hackathons.
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In collaboration with Programme Leads, Senior Managers, and the Onboarding Enablement Lead you will support the onboarding of coaches who are new to your programmes’ technical content, apprenticeship standards, structure, format, and ways of working. This includes new Coaches and Coaches who have transferred from other programmes.
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Be the End Point Assessment expert for AI Domain programmes. Maintain a deep understanding of the standards, associated pain points, and how programme changes may impact the overall EPA experience. Use your expertise to provide learning, product & process recommendations.
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Monitor and improve the health of the AI Domain. Produce reports on key metrics for senior stakeholders, suggestions on how to improve them, and action points to be completed. Collaborate cross functionally to ensure our learners get the best possible experience.
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Support in the development of new programmes in the AI Domain by collaborating with Learning, completing Quality Assurance as a Subject Matter Expert, and hiring new coaches. Work cross functionally with stakeholders as required to ensure new AI programmes launch successfully.
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In collaboration with Go To Market and Domain Quality and Impact, support recruitment to our AI programmes by attending customer calls, conducting taster sessions, and advising on customisations.
About You
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You have an obsessive interest in AI and can demonstrate artefacts you have created using it.
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4+ years of industry experience in AI, Software Engineering or Learning and Development.
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You can demonstrate up do date knowledge of the latest developments in AI, and identify cutting edge use cases for a range of organisations.
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You have exceptional written and on-camera communication skills, and can demonstrate experience of presenting to large groups virtually and in person.
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You can demonstrate ROI from working cross-functionally and leading without authority.
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You are passionate about delivering the best learning opportunities and supporting others on their development journey.
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You have an eye for detail and can explain the value of apprenticeships to a range of stakeholders.
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You can demonstrate experience in writing reports for senior stakeholders using data from a range of sources.
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You can write code in at least one language, with Python preferred.
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You align closely with our values and can share examples of how you have demonstrated them.
How we hire
Benefits
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Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days and 2 company-wide summer shut-down days and 8 bank holidays per year
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No-cost and low-cost health and wellbeing options, including medical insurance, medical cashback, Gympass and online mental health resources
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Access to cost-saving schemes that include our Cyclescheme, Techscheme & Workplace Nursery Scheme
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Security for the future with life insurance through AIG and access to our pension scheme. We now offer two pension schemes: net pay arrangement and salary sacrifice. For our salary sacrifice scheme, you would contribute a 5% employee contribution and we would contribute a 4% employer contribution, on all base pay.
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Perks: quarterly team socials and winter parties, hybrid working, work from abroad scheme, and more!
Our commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.
Right to Work
Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.
Safeguarding
All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service ("DBS") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.
