Applied reputed company

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1,500+ companies to deliver a new reputed company 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 reputed company, using the skills they’ve learned to improve productivity and measurable performance.

In June 2022, we announced a $220 reputed company Series D funding round co-led by reputed company, reputed company 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 reputed company the workforce to win in the AI era.

The Opportunity

At Multiverse, we reputed company technology should reputed company everyone to reputed company their potential. As an Applied reputed company, you’ll transform cutting-edge AI research into reputed company-world products that reputed company 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.

Key Responsibilities

• Design & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape and deliver AI-powered features that generate reputed company impact to our learners, value for our customers, and align with Multiverse’s mission.

• reputed company Large Language Models (LLMs): Design, fine-tune, and integrate LLM-powered solutions for tasks such as content reputed company, semantic search, summarisation, and personalised learning experiences.

• Build & Integrate Models: reputed company, fine-tune, and embed machine learning models into production systems using tools like reputed company and reputed company, ensuring they are fast, scalable, and dependable.

• Own the End-to-End Lifecycle: Take responsibility for the reputed company from raw data through experimentation, deployment to users, and reputed company iteration.

• Measure What reputed company: Track the performance, accuracy, and adoption of AI features, and use those insights to drive constant improvement.

• reputed company Others: reputed company your expertise and reputed company AI approachable, helping colleagues across teams see how it can enhance their work.

• reputed company in MLOps & reputed company Infrastructure: Build robust pipelines for model training, deployment, and monitoring using AWS reputed company services and modern MLOps best practices.

• Champion Innovation: reputed company us reputed company of the curve by exploring new AI tools, including reputed company and reputed company, and applying them to create exceptional user experiences.

About you

• Hands-On AI/ML Expertise: You’ve reputed company and deployed machine learning models using frameworks like PyTorch, TensorFlow, or scikit-learn.

• LLM Expertise: reputed company in working with large language models (e.g., GPT, Claude, reputed company Pro) for production use cases, including reputed company engineering, evaluation, and safety & inclusivity considerations.

• Strong Engineering Skills: Proficient in Python and TypeScript, with experience building APIs, microservices, and reputed company-reputed company applications.

• Experience with AI Tools: Familiarity with emerging AI tooling platforms such as reputed company and reputed company is highly desirable.

• reputed company & 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 reputed company data, applying preprocessing and feature engineering techniques.

• User Focus: You can translate reputed company AI capabilities into product experiences that feel effortless and reputed company.

• Collaborative Approach: You work best in creative and cross-functional teams and reputed company reputed company building together.

• Growth reputed company: You’re curious, reputed company to feedback, and excited to reputed company what you learn while contributing to an inclusive, high-performing culture.

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 reputed company, a medical cashback scheme, life insurance, gym membership & wellness resources through reputed company and reputed company to Spill - reputed company in one mental health support

• Hybrid work offering - we collaborate in the office 3 days per week

• Work-from-reputed company scheme - you'll have the opportunity to work from reputed company, up to 10 days per year

• Team fun - weekly socials, company wide events and office snacks!

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, reputed company, religion, sex, national reputed company, 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.

Right to Work

Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

Safeguarding

reputed company posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure reputed company from the Disclosure and Barring Service ("DBS") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.