AI Workshop Lead

Every team has AI. Few have mastered it. Humans were built to adapt, but AI is now moving faster than most workforces can.

Multiverse is the AI adoption layer: the missing link between the AI tools that companies have invested in and the people expected to use them.

Our ambition is to put AI capability in every worker’s hands. Apprenticeships got us started: we’ve trained over a third of the UK’s data and AI apprentices, worked with a third of the FTSE 100, and generated £2bn+ in verified ROI. Now Mastry, our new adaptive learning platform, takes that further, guiding a company’s AI workforce transformation from start to finish. Mae, our AI guide inside Mastry, is a real-time AI agent that thinks, speaks, listens and sees, working alongside the tools you already use, like Claude and Copilot.

We closed our latest fundraising round in April 2026, with $500m+ raised in total from VC partners including Index Ventures, General Catalyst, Schroders Capital and Lightspeed. With a $2.1bn valuation, we are Europe’s first EdTech double unicorn, and we are just getting started.

If you want to shape how the workforce wins in the AI era, come and join us.

The Opportunity

As an instructor, you will be responsible for the delivery of our technical content across our AI for Business Value and AI-Powered Productivity Programmes. You’ll support our apprentices in growing their understanding of how AI can solve business problems through workshops and drop in sessions. You will help apprentices develop knowledge relating to the appropriate KSBs throughout their programme.

The Multiverse delivery team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development.

To ensure a strong start, you will complete a 3-week onboarding programme, covering:

• Modern teaching methodologies - for a hands-on, engaging learning experience

• Technical upskilling - to align with the relevant apprenticeship standard

• Practical coaching opportunities - a rigorous, robust feedback process to get you ready to launch your programme

At the end of onboarding, you will be ready to support Multiverse apprentices, helping them develop technical expertise and industry-relevant skills relating to AI and Data domains and drive impact within their businesses. We believe this is an opportunity like no other!

Specifically, you will:

• Confidently facilitate delivery sessions of our technical Learning content, ensuring the session delivers against learning objectives within the allotted time.

• Adhere to the Coach Quality framework to ensure a consistent level of quality for every session and a consistent experience for every apprentice.

• Create a vibrant, inclusive and motivating environment that drives apprentice learning, engagement and overall satisfaction.

• Moderate assignments in line with mark schemes to ensure quality and consistency while providing feedback and feed forward for apprentices to continually develop their technical and durable skills.

• Maintain an owners mentality, whether assigned a learner or in support of other coaches, being proactive in taking action, sharing feedback, or providing support to ensure the progress and success of learners.

• Regularly liaise with coaches to align on apprentice interventions to ensure successful completion of programme.

• Coordinate with cohort coaches and operations members to align on apprentice development and progress

• Utilise resources & learning opportunities provided by Multiverse, stay up-to-date on knowledge, learning and product updates, to ensure you are equipped to support your apprentices.

• Build & maintain credibility with your apprentices by utilising a mixture of professional experience, program/domain/industry knowledge and client context in your interactions.

• Create a compelling narrative about Multiverse, our mission and the pillars of our offering. Help apprentices connect to it through the duration of their apprenticeship and beyond.

About you:

• You possess strong written and on-camera communication and presentation skills.

• You can skillfully adjust communication approaches to explain complex concepts to technical and non-technical stakeholders.

• You can think critically and solve problems as they arise, especially in an online classroom setting.

• You are committed to continuous professional development and staying current with industry trends.

• You have industry experience of applying AI to create ROI in a business context.

• You are a seasoned professional with a minimum of 2 years of relevant experience; ideally in AI, Software Development or Business Analysis roles.

• You are deeply interested in generative AI and regularly use tools to improve your own productivity.

• You excel at explaining technical concepts clearly and compellingly to diverse audiences.

• You have exceptional written and on-camera communication and facilitation skills, with proven ability to engage business audiences, including leaders.

• You are passionate about developing others' skills and strongly align with Multiverse's mission to create equitable access to economic opportunity.

Desirable:

• Prior experience delivering formal training or coaching, particularly on AI, data or digital transformation topics.

• Deep familiarity or certifications related to specific AI tools like Microsoft 365 Copilot, Gemini for Google Workspace or Microsoft Copilot Studio.

• Experience in curriculum development or instructional design.

• A postgraduate qualification (e.g., Master's degree) in a related field (AI, Data Science, CS, Digital Transformation).

• Experience with programming, digital transformation or creating machine learning models.

• You also align closely with our values and can share examples of how you have demonstrated them.

This is a 16 month FTC.

Benefits

• Time off: 27 days holiday (including 3 winter shutdown days) and bank holidays, plus 5 extra days off (1 life event, 2 volunteer days and 2 summer shutdown days).

• Health and wellbeing: Bupa private medical insurance, a medical cash back plan, therapy through Spill and gym access through Wellhub.

• Equity for all: we believe that when Multiverse wins, we all win, which is why every permanent employee receives share options.

• Financial security: life insurance at 3x salary, a workplace pension with 4% contribution from us, Cycle to Work and a Tech Scheme.

• Family support: enhanced maternity and paternity leave, adoption and shared parental leave, paid leave after pregnancy loss, and a workplace nursery scheme.

• Hybrid working: 3 days a week in the office - except for Coaches & Instructors who come into the office 1 day per month. Plus 10 days a year to work from anywhere.

• Work perks: quarterly team socials, company-wide events, happy hours, lunch delivered to the office once a week, fully stocked snack bar and a drinks fridge!

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.

Our Commitment to Safeguarding

Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).

For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.

Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.