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About the Role

Join Multiverse and power our mission to equip the workforce to win in the AI era. You'll be the human judgement layer sitting on top of our AI-assisted content pipeline — part subject-matter expert, part instructional designer. You'll decide what AI got right, fix what it didn't, and build the parts no AI can: the high-touch, high-stakes, deeply human moments in a learner's journey that make the difference between content that's technically correct and content that actually changes someone's career.

Responsibilities

Design outcomes, not just content. Apply end-to-end backward design to build Data and programmes where success is measured by what learners can do on the job — not just what they can pass a test on.
Own the hardest part: turning a job-aligned outcome into a curriculum that actually gets learners there.
Chase real-world impact, relentlessly. When a piece of learning isn't landing — when a Data Analyst cohort isn't showing the outcomes it should — you won't wait to be told. You'll spot it, own it, and scope the revisions that bring it up to the standard it needs to hit.
Build what AI can't. Design the custom, high-touch programmes and creative assets — branching narratives, bespoke multimedia, high-stakes onboarding moments — that need real human empathy, creativity, and nuance.
Put AI to work, deliberately. Use AI tools and prompt engineering to accelerate your own content development and uncover learning design approaches nobody's tried yet.
Advise up, not just build. Work directly with Programme Designers and senior stakeholders on the quality and pedagogical effectiveness of Data, AI and human output.
Prototype for the long game. Lead new learning formats and modalities that don't exist yet — and know how to balance shipping fast against building something sustainable enough to reuse.

Requirements

Real command of end-to-end ADDIE and backward design — you've built measurable, job-aligned outcomes and the assessments that prove learners hit them, not just theoretical frameworks on a CV.
A habit of treating "good enough" as a starting point, not a finish line — you notice when learning isn't driving real outcomes, and you take the initiative to fix it.
Genuine fluency with AI-powered tools and prompt engineering, used to accelerate content development and find genuinely new applications in Data/AI learning design.
The ability to take a genuinely complex Data Science or Analytics concept and design a learning experience around it that actually works — for someone with zero technical background.
The confidence and track record to influence peers and senior stakeholders toward a specific, measurable curriculum improvement — not just raise a concern and move on.
Resilience when things don't go to plan — you can point to a time a project hit a real obstacle (a blocker, a shifting SME, a launch that missed the mark) and describe exactly what you did about it, and what you learned.
Hands-on experience producing technical content for Data Science
2+ years designing instructional content in a commercial environment or for commercial clients.
A Data Science degree (or close cousin of one)
Completion of a technical apprenticeship in Data
2+ years working as a practitioner in Data
If you're a strong technical practitioner who's never formally studied instructional design, or a seasoned learning designer who's spent the last year deep in AI/Data tools — either path can get you here. We're looking for the judgment, not a checklist.

Skills

Generative and agentic AI
Data Analytics
Data Science
Prompt engineering
ADDIE
Backward design

Location

Hybrid

Work Type

Hybrid
Work-from-anywhere

Experience Level

2+ years

Education Level

Data Science degree (or close cousin of one)
Technical apprenticeship in Data

Benefits

27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Private medical Insurance with Bupa
Medical cashback scheme
Life insurance
Gym membership & wellness resources through Wellhub
Access to Spill - all in one mental health support
Opportunity to work from anywhere, up to 10 days per year
Weekly catch-ups
Seasonal celebrations
Stocked kitchen

About the Company

Multiverse is the upskilling platform for AI and Tech adoption.
We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.
Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills.
Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst.
At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn.
With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling.
We’re building a world where tech skills unlock people’s potential and output.

Equal Opportunity

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.
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.