Applied AI Engineer, Multiverse
More information about location
3 days a week in office (Paddington)
Upskilling platform for AI and tech adoption
Open for applications
Upskilling platform for AI and tech adoption
501-1000 employees
Open for applications
More information about location
3 days a week in office (Paddington)
501-1000 employees
Company mission
To equip the workforce to win in the AI era.
Role
Who you are
- Hands-On AI/ML Expertise: You’ve built and deployed machine learning models using frameworks like PyTorch, TensorFlow, or scikit-learn
- LLM Expertise: Experienced in working with large language models (e.g., GPT, Claude, Gemini Pro) for production use cases, including prompt engineering, evaluation, and safety & inclusivity considerations
- Strong Engineering Skills: Proficient in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications
- Experience with AI Tools: Familiarity with emerging AI tooling platforms such as Cursor and Gemini is highly desirable
- Cloud & MLOps: Practical experience deploying AI solutions on AWS, with a strong grasp of CI/CD for models, version control, observability, and retraining pipelines
- Data Skills: Skilled at working with structured and unstructured data, applying preprocessing and feature engineering techniques
- User Focus: You can translate complex AI capabilities into product experiences that feel effortless and intuitive
- Collaborative Approach: You work best in creative and cross-functional teams and thrive when building together
- Growth Mindset: You’re curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture
What the job involves
- As an Applied AI Engineer, you’ll transform cutting-edge AI research into real-world products that make learning and development smarter, more personalised, and truly impactful for thousands of users
- Join us to build intelligent features that shape the future of work and education
- Design & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape and deliver AI-powered features that generate real impact to our learners, value for our customers, and align with Multiverse’s mission
- Leverage Large Language Models (LLMs): Design, fine-tune, and integrate LLM-powered solutions for tasks such as content generation, semantic search, summarisation, and personalised learning experiences
- Build & Integrate Models: Develop, fine-tune, and embed machine learning models into production systems using tools like Cursor and Gemini, ensuring they are fast, scalable, and dependable
- Own the End-to-End Lifecycle: Take responsibility for the journey from raw data through experimentation, deployment to users, and continuous iteration
- Measure What Matters: Track the performance, accuracy, and adoption of AI features, and use those insights to drive constant improvement
- Enable Others: Share your expertise and make AI approachable, helping colleagues across teams see how it can enhance their work
- Lead in MLOps & Cloud Infrastructure: Build robust pipelines for model training, deployment, and monitoring using AWS cloud services and modern MLOps best practices
- Champion Innovation: Keep us ahead of the curve by exploring new AI tools, including Cursor and Gemini, and applying them to create exceptional user experiences
Salary benchmarks
Our take
Multiverse is on a mission to equip the workforce to win in the AI era. That means helping people at all stages of their career gain the tech, data, and leadership skills needed to thrive in an age of rapid automation and AI transformation.
Multiverse positions itself as the upskilling platform for AI and tech adoption, partnering with over 1,500 companies across the UK and US (including Google and Facebook) to deliver a new kind of learning. This approach is grounded in applied, work-based training designed to deliver measurable outcomes. And these apprenticeships are open to individuals of any age or career stage and focus on critical capabilities in AI, data, and tech skills.
And the impact is real. Multiverse learners have driven over $2B in ROI for their employers by directly applying their skills to improve productivity and performance. The company's success is not only reflected in its outcomes, but also in recognition, having secured significant funding in 2022, bringing its post-money valuation to $1.7B and cementing its status as the UK's first EdTech unicorn.
Steph
Company Specialist at Welcome to the Jungle
Meet the team
150 people
Ujjwal, Chief Product & Technical Officer
Our mission
Building a career platform that transforms careers equitably.Insights
58% female employees
96% employee growth in 12 months
Trustpilot (3.5)
Company
Employee endorsements
Opportunities to learn
"Whether that's the content in the course you are teaching of which you're developing a deeper understanding, weekly CPD (continuous professional..."
Funding (last 2 of 5 rounds)
Jun 2022
$220m
SERIES D
Sep 2021
$130m
SERIES C
Total funding: $414m
Company benefits
- Working from abroad
- Free access to Wellhub's Starter, Basic and Bronze plans (free gym + more)
- M-Powered long weekend to refresh and recharge
- A focus on wellbeing with access to Spill therapy support and Employee Assistance Programme
- 24 days holiday, 3 winter shutdown days plus 1 life event day and 2 volunteer days
- Full Medical Insurance coverage through Bupa, and your medical history is disregarded
- Life Insurance coverage through AIG. This benefit pays out 3x your base salary to your beneficiaries
- Our Cycle to Work scheme enables bike ownership with up to 42% savings
- Tech scheme: you can purchase new electronics, including accessories, up to £1,000, and spread the cost through 12 interest-free monthly repayments
- Workplace Nursery benefit is provided by Enjoy Benefits and is there to help employees with the cost of childcare at a nursery setting
Company HQ
Paddington, London, UK
Articles
Leadership
Euan Blair
(Founder & CEO)Prior to founding Multiverse, Euan was the UK CEO of Sarina Russo Group, an employment and training provider with more than 1,500 staff worldwide and a turnover exceeding £100 million.
People progressing
Peppa joined Multiverse in 2019 as a Senior Account Executive. Since then, they have held a number of roles and now serve as the Senior VP/GTM.
People breakdown
13%
11%
6%
68%
2%
Asian
Black or African American
Multiracial / Multiethnic
White
Unknown
Last updated on 10 September 2024
Diversity, Equity & Inclusion at Multiverse
Serena Vaughan (Career Mobility Lead)
- We want to be a leader in Diversity, Equity & Inclusion (DEI), so we’re working hard to drive the change we want to see in the world, inside Multiverse.
- Everything we do in the DEI space is undertaken with the goal of being representative of the geographies in which we operate – and our apprentice community. Gender diversity has been a long-term challenge for the tech world. We're proud that 55% of our UK Team identify as women, this increases to 64% of our Global Leadership Team (director level and above). We're also proud of our thriving LGBTQQIAAP community, comprising 11% of our UK Team.
- We're committed to improving the diversity of our workforce, at all levels. We continue to invest in early talent through our in-house apprenticeship scheme – something we know is a fantastic route into our organization for exceptional talent from a diversity of backgrounds.
- Last year we identified improving the diversity of our Global Leadership Team (director level+) internally as an area of focus. Steps that we took included introducing robust DEI monitoring processes, rolling out Inclusive Recruitment Training to all staff involved in the hiring, and launching our first internal, Global Leadership Accelerator program.
- We’re proud that in the last 12 months, the representation of colleagues from ethnic minority backgrounds at director+ levels, globally, has increased from 6% to 19%. This is good progress but we still have work to do and are committed to building a leadership team that is representative of our colleagues and of the communities we serve.
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