About the role
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 Opportunity We are seeking a passionate and knowledgeable AI Workshop Lead with working knowledge in training, tuning, deploying, and monitoring classical and deep Machine Learning models. AI Workshop Lead you will be responsible for delivering high-quality curriculum and mentoring learners, guiding them professionally and will be involved in continuous improvement of relevant learning products. You can expect to cover learning products such as AI & Machine Learning Fellowship and support delivering Machine Learning-related content in higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching 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 the ML domain and drive impact within their businesses. We believe this is an opportunity like no other! Specifically, you will: 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. 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 feedforward for apprentices to develop their technical and durable skills continually. Maintain an owner's 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 the 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 utilizing 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. Advanced Programmes only: undertake regular specialized Higher Education CPD to own your own development of the degree apprenticeship experience. About you: You will have a combination of both deep technical skills and significant experience applying this in an industry setting, and ideally 1+ year of experience in learning & development, coaching or education. Technical Expertise: Postgraduate qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ML solutions and Responsible AI practices. Skilled in real-world ML applications and their societal impact. Proven ability to manage stakeholders at all levels and lead AI/ML projects. Teaching & Communication: Experienced in technical training, mentoring, and coaching. Teaching qualification or industry recognition (e.g., FHEA) is a plus. Public speaking, industry engagement, and GitHub contributions are desirable. Other
