Hybrid AI Workshop Lead

at Multiverse

• Job title: AI Workshop Lead
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Jenkins, Microservices, PySpark, Python, Terraform
• Location requirements: Hybrid, London, United Kingdom

About the role

• AI Workshop Lead role delivering technical curriculum and mentoring apprentices at Multiverse. Involve in AI & ML Fellowship and Advanced Data Fellowship programs.

Responsibilities

• 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.

Requirements

• 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 Qualifications & Experience: Exceptional interpersonal, leadership, and communication abilities, with a demonstrated capacity to work across teams, lead cross-functional projects, and communicate complex technical concepts to non-technical stakeholders.
• Strong written and on-camera communication and presentation abilities, adept at engaging and motivating learners.
• Demonstrated skills in applying business case principles and articulating the business value related to relevant innovations.
• You are passionate about delivering the best learning opportunities and supporting others on their development journey.

Benefits

• 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!