---
title: 'Data Technical Trainer at Multiverse'
canonical: 'https://feeny.ai/job/data-technical-trainer-multiverse-london-a3xw45gsgpm7'
type: 'job'
last_seen: '2026-10-28'
---

# Data Technical Trainer at Multiverse

- **Company:** Multiverse
- **Location:** London, United Kingdom
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.ashbyhq.com/multiverse/53e92ccb-dbff-4dac-9eb6-2fad81532137

## Job description

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. But we aren’t stopping there. 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.

Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an instructor, you will be responsible for the delivery of our technical content and supporting our apprentices in upskilling in these technical areas through workshops and drop in sessions. You will help apprentices develop the appropriate Knowledge, Skills & Behaviours 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, and 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.
- Proficient in at least two of the following: Excel for BI, Tableau, Power BI
- Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA).
- Solid understanding of statistical methods and their applications.
- Proven experience applying data and advanced analytics in professional settings
- Strong advocate for ethical and responsible data use, with hands-on experience in data governance and knowledge of data protection laws

Added plus if: Skilled in SQL and ideally Python, demonstrated through real-world projects. This is a 16 month FTC

## Benefits

- Time off - 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
- Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
- Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
- Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
- Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

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](https://www.multiverse.io/en-GB/our-policies/equality-diversity-and-inclusion-policy). 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](https://cdn.sanity.io/files/6y1mknvo/prod-20240319/50283d0600920c5f1e02cf44e54c0f1534c74e61.pdf), our [Prevent Policy](https://cdn.sanity.io/files/6y1mknvo/prod-20240319/35a5defca7346bb1c212250867754b0a7ae5b478.pdf)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.

## About Multiverse

## Company Overview
- **One-liner**: Multiverse is an upskilling platform that combines expert human coaching with an AI-powered learning engine to help organisations adopt AI, data and tech skills at scale.
- **Entity Type**: Private (Series D, most recent raise $70m in 2026 at a $2.1bn valuation)
- **Headquarters**: London, United Kingdom (Paddington)
- **Founded**: 2016
- **Founders**: Euan Blair

## Core Business
- **Primary industry**: Workforce upskilling / EdTech / AI adoption services
- **Target customers**: B2B – enterprises and mid-market organisations (1,500+ companies including Microsoft, Mars, John Lewis Partnership)
- **Mission statement**: “Equip the workforce to win in the AI era.”

## Products & Services
- **AI Adoption Platform**: An end-to-end platform that diagnoses skills gaps, prescribes learning paths (using the MAGE framework), and tracks quantifiable business impact (productivity, cost savings, ROI).
- **Professional Apprenticeships**: Accredited programmes (Level 3, Level 4) in AI, data, and tech – e.g. Data Technician, Data Analyst, AI & Automation Practitioner, Digital Support Technician. Delivered over 13 months with a 3-month assessment period.
- **AI Solutions Builder**: A programme to create agentic AI experts who build solutions to improve team processes and eliminate repetitive tasks.
- **Data Fellowship & Data & Insights for Business Decisions**: Programmes for aspiring/junior to mid-level data professionals.
- **AI-Powered Productivity**: Coaching on GenAI tools (Microsoft Copilot, Gemini) with responsible AI use.
- **Human + AI Coaching**: An ecosystem of expert coaches and AI support to guide learners through their upskilling journey.

## Market Standing
- **Valuation**: $2.1 billion (post-money after $70m raise in 2026; previously $1.7bn post-money in June 2022 Series D)
- **Key Metric**: Over £2 billion tracked ROI for employers; 22,000+ learners; 1,500+ companies served; 800+ employees
- **Notable Investors/Partners**: Schroders Capital (lead in 2026 round), General Catalyst, Lightspeed Venture Partners, StepStone Group. Key partners include Microsoft, Mars, John Lewis Partnership.
- **Growth Signals**: Raised $70m at a higher valuation in 2026 to accelerate European expansion; growing headcount (850+ employees reported on careers page); launched new AI-specific programmes; expanded from UK into the US.

## Competitive Advantages
- **End-to-end AI adoption layer**: Combines skills diagnosis, custom learning paths, human coaching, and ROI measurement – not just content delivery.
- **Proven ROI focus**: Every programme is designed to deliver measurable business outcomes (e.g., $2bn+ in customer ROI cited).
- **Accredited apprenticeships for all career stages**: Offers government-recognised qualifications but for any age (not just early career), bridging the gap between traditional education and workforce needs.
- **AI-native approach**: AI is “the engine, not an add-on”; the platform itself uses AI to personalise learning and coach at scale.

## Strategic Focus
- **European expansion**: The 2026 $70m raise, led by Schroders Capital, is specifically earmarked for accelerating growth across Europe.
- **Deepening AI adoption capabilities**: Building the “adoption layer” for organisations – helping them move from buying AI tools to actually getting employees to use them effectively.
- **Scaling the platform**: Continuing to add new programmes and improve the MAGE learning framework to drive more business impact.

## Why Work Here
- **Culture**: Described as “mission-driven” with a focus on achievement, mastery, and behaviour (BAM framework). Emphasis on continuous feedback, improvement, and being “owners” who drive outcomes.
- **Hybrid working**: 3 days per week in the London office (Paddington); plus a “10 days work from anywhere” scheme.
- **Benefits**: Bupa Private Medical Insurance, Unum Cashplan, Wellhub gym/wellness membership, enhanced pension (5% + 4% employer contribution), tech and cycle scheme, workplace nursery, share options (role dependent), 2 extra M-Powered Days off, life insurance, therapy support.
- **Learning and growth**: “Never stop growing” is a core value; intensive 2-week AI onboarding for all new hires; quarterly team socials.
- **Engineering culture**: Active hiring for roles like AI Solutions Engineer, Senior Software Engineer (AI Adoption Product), Applied AI Engineer, Analytics Engineer, AI Learning Architect – indicating a strong focus on building the platform in-house.

## Sources
1. [multiverse.io – Homepage](https://www.multiverse.io/)
2. [multiverse.io – Careers “We’re Hiring”](https://www.multiverse.io/careers/were-hiring)
3. [multiverse.io – Our Mission](https://www.multiverse.io/about/our-mission)
4. [multiverse.io – Careers (open roles)](https://www.multiverse.io/en-US/careers?q=advanced)
5. [linkedin.com – Multiverse company page](https://www.linkedin.com/company/joinmultiverse)

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