MultiVerse

A leading upskilling platform in Greater London is seeking a skilled individual to manage funding scrutiny, data analysis, and audit compliance. You will act as the internal safeguard against funding clawback, requiring strong knowledge of apprenticeship funding evidence and a proven track record in project management and audit lifecycle management. This role offers a hybrid work model, competitive benefits including health insurance, and the opportunity to directly impact the training of the workforce in the AI era.

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 role Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn, and it's rebuilding on an AI-first foundation. Enterprise Trust & Reliability is the layer where that platform meets the customer, the regulator, and the investor. Our mission is to turn enterprise trust into enterprise revenue: the guardrails, integrations, and vendor relationships that let Multiverse move fast without breaking the trust that enterprise customers pay for. We're hiring our first Strategic Partnerships & Procurement Lead: the commercial operator who owns how we buy, renew, and partner on technology. You'll sit at the seam between engineering, security, legal, finance, and our vendors, and you'll turn tooling spend and partner relationships into commercial advantage. This is a high-autonomy, high-influence individual-contributor role reporting to the Senior Director of the function. What you'll do Build and own strategic partnerships with the technology providers that matter most - model providers like Anthropic or ChatGPT, hyperscalers like AWS and Google, major platforms like Salesforce or Oracle, and developer and security tooling vendors. Keep these relationships warm and know when to activate them. Look past cost: proactively find where a partnership can unlock real value for the business, whether that's training, co-building, product integrations, or better commercial terms. Centralise and modernise how we buy, renew, and consolidate technology, building this from a low base. That means a single software asset register, a clear intake-and-approval flow, and legal and security engaged early as a gate to clear, not a blocker to fight. Bring total cost of ownership and usage-based pricing into the open so spend maps to outcomes. Own the live threads from day one - including our LLM enterprise contracts, AI tooling, Identity platforms and other software contracts - and hold the pen on negotiations and renewals across the wider technology portfolio. Turn procurement and partnerships into a commercial lever, not a cost centre. You'll sit at the seam between engineering, security, legal and finance, influencing outcomes across teams you don't manage - so persuasion and clarity carry the role. Done well, this also becomes trust and vendor evidence that helps enterprise and regulated customers say yes faster. How we work with AI At Multiverse, AI is our engine, not an add-on. In this seat that's literal: you'll be buying, negotiating, and partnering on the exact tools that make it true, and modelling what they cost and what they return. We expect you to use AI daily in your own work - from drafting and comparing contracts to analysing spend - and to be genuinely curious about a tooling and AI-provider market that looks different every quarter. What we're looking for You've built and grown relationships with major technology partners- AWS, Google, Salesforce, Anthropic-type organisations - and can point to commercial impact you unlocked, not just costs you cut. You're comfortable inside a procurement process too: you've negotiated and renewed software, cloud, or SaaS contracts and can speak to the trade-offs you made, you understand consumption-based pricing, and you're at ease driving a decision across security, legal and finance without owning those teams. But procurement isn't the whole story for you - you think about what a vendor relationship can build, not just what it costs, and you treat compliance as a lever rather than a blocker. You're technically literate enough to challenge a vendor's claim without being an engineer, and comfortable navigating an engineering and product environment rather than operating purely from the business side. We're looking for AI acumen too: you understand the competitive AI landscape - Anthropic, Google, AWS and others - well enough to advise on real strategic calls, like whether our current AI partner remains the right long-term one. What this role isn't. This is an internal commercial seat, not a sales role: no quota, no pipeline, no external revenue target. Your customers are our engineers and the business. You don't need to be an engineer (technical fluency, not technical depth), and you won't manage people from day one - this is a senior individual-contributor role that earns a team by proving the function. Your first nine months Months one to three: map the estate. Every technology contract, renewal date and owner in one place; a single software asset register; a clear picture of spend across tokens, seats and cloud. Get on top of the live threads such as our LLM enterprise contracts, our identity tooling, developer tools, and cross-organisational threads - and start spotting quick wins, like renegotiating spend with an existing supplier. Months four to six: stand up the buy, renew and consolidate process with security and legal engaged early. Land a first consolidation or renegotiation win - for example, a usage backed recommendation that settles a tooling question. Start growing the strategic side: identify where partnerships can bring value beyond commercial terms, whether that's training, co building, or product integrations. 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. 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.

Join Multiverse as we reshape education through AI! The role centers on complete agent systems, where you will design, implement, and evaluate transformative AI solutions. With a culture promoting product thinking and collaboration, we are looking for experienced engineers comfortable in ambiguous environments. Enjoy extensive benefits including 27 days holiday plus additional days off, private medical insurance, and a hybrid working model. Help us equip the workforce for the AI era while putting your skills to immediate use.

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 June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7bn, the round makes us the UK's first EdTech 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 Role Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development. Multiverse is in a uniquely strong position to do that, and getting it right has implications beyond the company: for the UK tech sector and the broader economy. The AI Transformation team exists to make that real, starting with Multiverse itself. This is not a team that bolts AI onto the edges of the business or ships a handful of internal productivity tools. The mandate is bigger: 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. That work matters twice over. Get it right inside Multiverse and we move faster, serve learners better, and operate at a level few organisations can match. But Multiverse also exists to build the workforce that every other company is reaching for. The way we transform ourselves becomes the standard we set for everyone else. You are not just changing one company, you are building the blueprint others will follow. The team is one small, focused squad, accountable for outcomes end to end. You work closely with the wider engineering org building Multiverse's customer facing product, and alongside the teams whose work you are helping to reinvent. The structure is flat and fast. No shared queues, no bureaucratic overhead between having an idea and shipping it. Whilst we are building something entirely new, Multiverse has an established product, existing infrastructure, and engineering teams in London and Berlin. You need to be as comfortable integrating existing systems and working across team boundaries as you are building new ones from scratch. What You Will Do Own and deliver complete agent systems. You take a product problem and build the agent system that solves it. Architecture, implementation, evaluation, and production operation. You are responsible for the system working, not just for your code compiling. Design context and retrieval strategies. What goes into the context window and what stays out is the most consequential design decision in an AI system. You design retrieval pipelines, conversation memory, summarisation strategies, and the chunking logic that makes context useful rather than noisy. You understand the cost and quality trade offs at every layer. Build evaluation frameworks. You define and implement the metrics that tell the team whether its AI systems are doing what they should. Accuracy, safety, helpfulness, domain specific quality, latency. You build automated eval pipelines and human in the loop review processes. You treat evaluation as an engineering discipline, not an afterthought. Design tool integrations. Agents are only as capable as the systems they can reach. You design and build the tool layer: MCPs, APIs, data contracts, and the error handling that makes tool use reliable. You work closely with the wider engineering org building Multiverse's customer facing product, whose systems your agents need to interact with. 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. You are not a team lead, but your technical judgement shapes what gets built and how. Raise the bar through code review and pairing. You review code with rigour and give feedback that makes the team better. You pair with less experienced engineers on hard problems. You set a standard for what production quality AI engineering looks like. Use Claude Code as your primary development workflow. Claude Code is how this team builds. You set context, define constraints, review output critically, and augment the tool with skills and domain context. You are fluent in AI assisted development and can mentor others in doing it well. What We Are Looking For Production AI Agent Engineering Context management. Designing what enters the context window and what stays out. Retrieval strategies, chunking approaches, conversation memory, summarisation. You know how context quality drives output quality and cost, and you have made these trade offs in production. Model selection and routing. Choosing the right model for a task based on capability, latency, cost, and reliability. You have worked with multiple models and understand when a smaller, faster model is the right call. Cost engineering. Token economics, caching, prompt optimisation, batching. You know the difference between a prototype that works and a production system that works at a cost the business can sustain. Tool use and agent augmentation. Designing the tool surfaces that agents use to interact with external systems. Writing tool descriptions that models use reliably, handling failures gracefully, building integration layers that are composable rather than brittle. Evaluation. Building frameworks for assessing AI output quality: accuracy, safety, helpfulness, domain specific criteria. You ship with eval, not after it. Product Thinking You do not wait for a spec. You understand the problem, figure out what needs to exist, and build it. On a small squad there is no gap between product thinking and engineering. You talk to users, understand their workflows, and identify the highest value intervention. This does not require product management experience. It requires the instinct to ask "what problem are we solving and for whom?" before "what framework should we use?" Full Stack Delivery You work across the stack: LLM integration, backend services, data pipelines, and enough frontend to ship end to end. Agent systems do not fit neatly into service boundaries, and your ability to work across all of them is a practical requirement. Communication You explain technical decisions clearly to both engineers and the product and design people you work with day to day. You document your designs, write pull requests that tell a story, and give direct feedback without being abrasive. What Would Set You Apart Experience building AI systems in EdTech, regulated content, or domains where output quality has compliance or accreditation implications Background as a founding or early stage engineer at a startup Published thinking or external contributions in AI engineering (talks, writing, open source) Experience with multi agent coordination: task decomposition, handoff, shared state Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML researchers without production engineering experience. We build products, not papers Narrow specialists. If you only do infrastructure, or only do model training, or only do frontend, this team needs broader range Engineers who need a detailed spec and a sprint plan before starting. We ship fast and iterate Candidates whose AI experience stops at wrapping LLM APIs. We need depth in context strategy, evaluation, tool design, and the systems engineering underneath Engineers who optimise for technical elegance over user outcomes. The architecture serves the product 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 . click apply for full job details

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 June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7bn, the round makes us the UK's first EdTech 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 Role Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development. Multiverse is in a uniquely strong position to do that, and getting it right has implications beyond the company: for the UK tech sector and the broader economy. The AI Transformation team exists to make that real, starting with Multiverse itself. This is not a team that bolts AI onto the edges of the business or ships a handful of internal productivity tools. The mandate is bigger: to rebuild how the company actually works, function by function, and to establish the engineering practices that make Multiverse an AI first company from the core out. That work matters twice over. Get it right inside Multiverse and we move faster, serve learners better, and operate at a level few organisations can match. But Multiverse also exists to build the workforce that every other company is reaching for. The way we transform ourselves becomes the standard we set for everyone else. You are not just changing one company, you are building the blueprint others will follow. The team is one small, focused squad, accountable for outcomes end to end. You work closely with the wider engineering org building Multiverse's customer facing product, and alongside the teams whose work you are helping to reinvent. The structure is flat and fast. No shared queues, no bureaucratic overhead between having an idea and shipping it. Whilst we are building something entirely new, Multiverse has an established product, existing infrastructure, and engineering teams in London and Berlin. You need to be as comfortable integrating existing systems and working across team boundaries as you are building new ones from scratch. What You Will Do Own the architecture of our internal agentic operating system. The team's work spans the full surface of how Multiverse operates. You own the technical architecture of our agentic operating system: the agent orchestration, context strategy, tool integrations, evaluation framework, and production operation. Your design decisions shape what is possible for human and AI teams at Multiverse. Ship production AI agent systems. This is a building role. You write code, review code, and own the quality of what goes to production. You will personally build and deliver significant agent systems. On a squad this size, nobody leads from a whiteboard. Design multi-agent coordination. Task decomposition across agents, handoff protocols, shared state management, orchestration logic. You know the difference between agents that genuinely coordinate and agents that run sequentially and hope for the best. You design the patterns that make multi-agent systems reliable. Build the evaluation and quality infrastructure. Automated eval pipelines, human in the loop review systems, regression testing for prompt changes, domain-specific quality metrics. You treat evaluation as a first class engineering concern and build the systems that make it possible at scale. Drive cost engineering. Token economics, caching strategies, model routing, prompt optimisation. The cost profile of production AI systems requires active engineering attention, and you build the cost awareness and tooling into the architecture rather than bolting it on later. Build the integration layer that makes existing Multiverse systems agent accessible. APIs, MCPs, shared data contracts, and the tooling that connects agents to the platform, content systems, and the tools the company runs on. This means building real working relationships with engineering teams across London and designing interfaces that serve both sides well. Set the standard. You define patterns for prompt management, retrieval, guardrails, and testing that the wider team and eventually the whole organisation adopts - and that, in time, shape how the companies who learn from Multiverse do this too. You do this through code, documentation, and architectural decisions, not through mandates. Mentor the team. Code review, architectural guidance, pairing on the hardest problems. You are not a line manager, but your technical leadership directly shapes the growth of the engineers around you. What We Are Looking For Production AI Agent Engineering You have shipped multi agent systems or complex AI products to real users. You understand the engineering challenges that make agent systems a distinct discipline: Context management. Designing what enters the context window and what stays out. Retrieval strategies, chunking, conversation memory, summarisation, and the cost/quality trade offs of each. You have made these decisions in production and seen the consequences. Model selection and routing. Choosing the right model for each task based on capability, latency, cost, and reliability. Building routing logic that matches work to the appropriate model rather than defaulting to one. Cost engineering. Token economics, caching, prompt optimisation, batching. You know the difference between a prototype that works and a production system that works at sustainable cost. You have built systems where cost was an engineering constraint, not someone else's problem. Tool use and agent augmentation. Designing what capabilities agents can reach: tool descriptions that models use reliably, failure handling, MCPs or equivalent interfaces. You understand that the quality of the tool layer determines whether agents are useful or fragile. Multi agent coordination. Task decomposition across agents, handoff protocols, shared state, orchestration logic. You have built systems where multiple agents work together within a product domain and understand the architectural patterns that make coordination reliable. Evaluation and quality. Building eval frameworks for AI output: accuracy, helpfulness, safety, domain specific criteria. Automated pipelines and human in the loop review. You would not ship an agent system without a quality baseline. Product Thinking and Entrepreneurial Instinct On a small squad there is no gap between product thinking and engineering. You own the problem from user need to production system. You can sit with the people whose work you are transforming, understand their workflow, identify the highest value intervention, and build it without waiting for a product manager to write a spec. You have either built something yourself (a product, a startup, a project with real users) or operated with that founder mindset inside a larger organisation. You understand that speed matters and that shipping something useful beats polishing something theoretical. AI Native Engineering You build with Claude Code daily. You set context and constraints before generating code. You review AI output critically. You augment the tool with skills, system prompts, and domain context to make it effective. This is how the team works, and you help define what good looks like. Full Stack Delivery You work across the stack: LLM integration, backend services, data pipelines, and enough frontend to ship end to end. The boundaries between these layers dissolve in agent systems, and so should your willingness to work across them. Communication You can explain technical strategy to a CPO, walk a product manager through a cost trade off, and give direct feedback in code review. You represent the team's technical approach in cross functional forums with product, design, learning design, compliance, and other engineering teams. You document decisions, not just code. What Would Set You Apart Experience in EdTech, regulated content, or domains where AI output quality has compliance or accreditation implications. Background as a founding engineer or technical co founder. Published thinking or external contributions in AI engineering (talks, writing, open source). Experience designing platform layers that other teams build on. Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards. What We Are Not Looking For Pure ML research without production engineering experience. We need builders. Narrow specialism. This team works across the full stack of an AI product. If you only do infrastructure, or only do model training, or only do frontend, this is the wrong fit. People who need a detailed spec, a sprint plan, and a standup before they can write a line of code . click apply for full job details

Multiverse is seeking an AI-focused engineer to own internal systems' architecture, build and ship significant AI agent systems. You will coordinate tasks across multiple agents, ensuring quality and efficiency. Candidates should have experience with multi-agent systems, strong product thinking, and a pragmatic approach to engineering. Hybrid work is available, along with extensive benefits including 27 days of holiday and health coverage.

Aspect Capital's Helpdesk team are a customer-focussed group with responsibility for supporting our technology. This includes desktop, infrastructure, and trading system technology, and stretches from physical hardware (computers/servers/keyboards) to applications (windows/office) and trading itself. A typical day No two days are the same! Initially the role will involve providing "first response" to...... click apply for full job details

This post can be linked to any of our offices in England. London office apprentices receive an additional London Allowance of £3,000 pa. We are looking for a bright, able and personable individual with a flair for communications to join us. You'll provide admin support for a key and rapidly growing area of our work, helping us engage our Ambassador Community (those who have completed our teacher training) and share their stories with the world A typical day You'll manage our department email inbox, responding to requests from ambassadors, networks and other colleagues across the organisation. You'll be the admin for the Ambassador Facebook Group and Twitter account, overseeing membership requests and keeping an eye out for good content You'll put together email bulletins for different Ambassador groups, writing and editing the text, arranging the images and preparing for them to be sent using software called Salesforce Marketing Cloud You'll have a keen eye for a good story, and work with our team to share them with the Ambassador Community You'll put together reports for the team showing how much Ambassadors have been engaging with the communications You'll update Ambassador records on our Salesforce system and put together reports to support our Network Connectors to build local networks You'll take ownership for: Managing our team inbox, dealing with or escalating queries on a daily basis Curating, editing and publishing content to social media channels Sourcing content, creating and testing our email campaigns Analytics reports on communications Supporting the team to deliver events, workshops and training You must have GCSE English & Maths 4-9 (C-A*) or equivalent Skills needed Teamwork Communication Organisation Personal Qualities You'll be able to prioritise a demanding workload You'll be great at customer service responding to a variety of enquiries politely, quickly and helpfully You'll have great writing skills, with the confidence to apply these to a variety audiences You'll be creative and enjoy putting together email bulletins You'll be confident with numbers and statistics, using these to help build reports You'll have a strong attention to detail You've a good understanding of social media the different content and audiences You're confident using Microsoft Office (Outlook, Word, basic Excel and PowerPoint) Perks and benefits Multiverse community Pension Future Prospects After your Digital Marketing apprenticeship progress into a full-time Junior, Specialist, Executive or Associate in: Social Media, Digital Marketing, Communications & PR, Data & Insights Analysis, SEO, PPC, Content Management or Writing. Included in Qualification 1. Training on the 15 month Standard Level 3 Digital Marketing (DM3) apprenticeship. 2. Being a Multiverse apprentice means access to awesome social events, sports teams, insight/career days with other apprentices to grow your network, as well as your own personal Coach who will guide you through the qualification to help you achieve your full potential. 3. As part of your Multiverse apprenticeship, you will have access to our Future Leaders Foundation modules to help you develop the 6 key competencies: well-being, self-awareness, motivation, conscientiousness, effectiveness and grit.

They are looking for a proactive individual who is interested in learning about Market Data and the functional workings of a busy data team delivering business critical requirements within a world-class Hedge Fund. You should have a willingness to learn and be eager with a can-do attitude. You should be happy to take detailed instructions from senior peers and carry out requirements in a careful a...... click apply for full job details