---
title: 'Senior AI Engineer, Edinburgh at Multiverse'
canonical: 'https://feeny.ai/job/senior-ai-engineer-edinburgh-multiverse-edinburgh-v39rnxk8g3jh'
type: 'job'
last_seen: '2026-09-09'
---

# Senior AI Engineer, Edinburgh at Multiverse

- **Company:** Multiverse
- **Location:** Edinburgh, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/multiverse/4d5f938e-1833-442e-a32e-415ed5fb2c64

## 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 AI TRANSFORMATION TEAM

AI Transformation is a small, focused squad that is driving Multiverse’s next wave of growth. Our mandate is to rebuild how the company actually works, function by function, and to establish the practices that make Multiverse an AI-first company from the core out.

But our work doesn’t stop there. We are building a product that we will take to market to truly be a transformation partner to our customers. Joining this team means shaping the future of Multiverse, of our customers, and of the wider workforce as we navigate the new world of work.

The team is high velocity, inherently cross-functional and broad in scope. We work alongside colleagues whose work we are reimagining, and closely with the wider engineering org building Multiverse's current customer-facing product. The structure is flat and fast, with egos left at the door, bias to action and fun at our core.

## WHAT YOUR DAY-TO-DAY WILL LOOK LIKE

Every day will be different, but you can expect it to include:

Own and deliver end-to-end AI systems: agents and the platforms they depend on. You identify a user problem, break it down and build the AI system that solves it, in close partnership with the teams who will adopt it

Design context and retrieval strategies: the retrieval pipelines, conversation memory, summarisation strategies, chunking logic and RBAC that make context useful and permission-aware

Build evaluation frameworks. You build automated eval pipelines and human-in-the-loop review processes that tell the team whether its AI systems are doing what they should.

Design tool integrations. Agents are only as capable as the systems and context they can reach. You design and build the tool layer: MCPs, APIs, data contracts, and the error handling that makes tool use reliable.

Influence technical direction. You have opinions about how things should be built, and you back them up with evidence. You contribute to architectural decisions, push back when the team is heading in the wrong direction, and propose better approaches.

## WHAT WE ARE LOOKING FOR

- Production AI Agent Engineering: You have shipped AI systems that serve real users at scale. You understand the engineering challenges that make agent systems different from conventional software, including context management, model selection and routing, cost engineering, tool use and agent augmentation, and evaluation
- Product mindset: Your natural instinct is to identify the real user pain, understand their requirements and build pragmatic, high-impact solutions. You test, learn and iterate fast, and are comfortable executing under high ambiguity
- Full-Stack Delivery: You work across the stack: LLM integration, backend services, data pipelines, and enough frontend to ship end to end
- Communication: You can explain technical concepts clearly to both engineers and business colleagues. You proactively engage the people around your work, and bring them along with you on the journey
- Fluent in AI-assisted development and can mentor others to do it well

## 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.pdfand 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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