Multiverse • Remote (UK)

AI Instructor

Employment type:  Full time

4 days/week at home

A little flex time

Job Description

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 1,000 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we’ve trained over 12,000 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.

The Opportunity

As an instructor for our brand new AI for Business Value programme, you will deliver our AI specific content equipping learners with the knowledge, skills and behaviours to understand and apply opportunities to achieve business value gains through the use of AI. You will empower learners to understand how AI applies to their business strategy, how to use business analysis techniques to identify opportunities and address challenges and how to execute projects through effective change management and stakeholder engagement in an ethically responsible way.

You will cover a range of topics, starting with AI fundamentals for business, then delving into data for AI-driven value and ethics. Next, you will introduce business analysis basics, including opportunity identification, current state evaluation, and understanding business needs. You will also help learners in how they bring AI into their organization, focusing on opportunity identification, project implementation, and scaling AI growth.

The Multiverse coaching team is an incredible mix of industry experts, teachers, and academics. You’ll work as part of the team with the shared vision of building a better future of work, benefitting both apprentices and our clients. You will report into one of our Delivery Leads who will support and guide you through your development journey at Multiverse.

For a successful start at Multiverse, you'll undergo a comprehensive 4-week onboarding programme. It is designed to equip you with pedagogical insights, differentiate teaching from facilitation, and build essential coaching and technical skills for apprentice support.

During onboarding, you’ll be paid your full salary whilst getting exciting opportunities to put your learning into practice by supporting coaches in their delivery and coaching sessions. You will be specifically focused on upskilling your knowledge, understanding and application of the Business Analyst apprenticeship standard. This will enable you to support learners in how they can identify improvement opportunities that can be solved by AI technology in their businesses. At the end of your onboarding, you’ll be ready to launch your first cohort of Multiverse apprentices. We believe this is an opportunity like no other!

Specifically, you will:

  • Deliver interactive online workshop sessions to large groups of apprentices to help them discover and develop their skills for real-world application as they develop their experience in their role and current organisation, supporting them in their journey towards becoming AI focused professionals

  • You will be responsible for your cohort’s progress through their apprenticeship, getting to know their roles in detail and working with their managers to support them to successful completion of the apprenticeship programme and into their future careers.

About you:

  • Technical credibility: You are a confident user of AI tools and technologies, with knowledge in at least one of the following; prompt engineering, machine learning, natural language processing, computer vision, and predictive analytics. You may also have experience building ML models and Predictive Analytics and have worked closely in or with a Data or Analytics team previously.

  • Industry Applied Experience: You have hands-on experience implementing AI into organisations, you also have experience working with stakeholders to identify and address organisational needs through AI solutions.

  • [Desired] Teaching and coaching experience: You have a proven track record of teaching or coaching in a professional setting, preferably in the context of AI or related fields. You excel at breaking down complex topics into digestible chunks and providing personalised guidance to learners at all skill levels.

  • Business acumen: You understand the strategic implications of AI adoption and can effectively communicate how AI can drive value and innovation within different business contexts. You have experience working with stakeholders to identify and address organizational needs through AI solutions.

  • Communication skills: You possess excellent verbal and written communication skills, with the ability to convey technical concepts in a clear and engaging manner. You can adapt your communication style to cater to diverse audiences and foster collaborative learning environments.

  • Adaptability and creativity: You thrive in dynamic and fast-paced environments, where new technologies and methodologies constantly emerge. You are adaptable and creative, able to tailor your teaching approach to accommodate changing circumstances and learner preferences.

  • Commitment to social mobility and equity: You are deeply passionate about promoting social mobility and equity, and you believe in the transformative power of education to create opportunities for all. You are dedicated to inspiring individuals from diverse backgrounds to pursue careers in AI and contribute to positive societal change.

  • Values alignment: You align closely with our values and can share examples of how you have demonstrated them

How we hire


  • Time off - 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days and 8 bank holidays per year

  • Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill - all in one mental health support

  • Hybrid & remote work offering - with weekly or monthly visits to the London office and the opportunity to work abroad 45 days a year

  • Team fun - weekly socials, company wide events and office snacks!

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.

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.


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.

Company benefits

Health insurance – cover provided by Bupa
Work from anywhere scheme – work for up to 45 days/year abroad
27 days annual leave + bank holidays
Gym membership
Enhanced sick pay
Volunteer days – 2 days/year
Enhanced maternity leave
Enhanced paternity leave
Adoption leave
Pregnancy loss leave
Company shutdown periods
Mental health days
Cycle to work scheme
Faith rooms
Meditation space
Fully stocked snack cupboard
Life insurance
Salary sacrifice
Share options
Lunch and learns
Employee discounts
M-powered days - Company wide wellbeing days where the whole company shuts down once per quarter.
Employees are very happy with their working location freedom
Employees are largely happy with the flexibility in the hours they work
Employees are largely happy with the benefits their company offers
Work-life balance
Employees feel that they can switch off quite easily from work
Role modelling
Employees feel that most people work flexibly
Employees feel they have complete autonomy over getting their work done

Working at Multiverse

Company employees


Gender diversity (male:female)


Office locations

London, New York & Remote

Funding levels


Hiring Countries

United Kingdom
United States

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024
EdTech & Education

EdTech & Education

Industry awards 2023
Most flexible companies

Most flexible companies

Flexa100 2023

Other jobs you might like