Hybrid Technical Trainer, AI

at Multiverse

• Job title: Technical Trainer, AI
• Job type: Full Time
• Experience level: Junior
• 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 Technical Trainer responsible for delivering high-quality AI and Machine Learning curriculum. Mentoring learners and improving learning products within an ambitious EdTech company.

Responsibilities

• responsible for delivering high-quality curriculum and mentoring learners
• guiding learners professionally and will be involved in continuous improvement of relevant learning products
• 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
• confidently facilitate delivery sessions of our technical learning content
• adhere to the Coach Quality framework to ensure a consistent level of quality for every session
• 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
• maintain an owner's mentality, whether assigned a learner or in support of other coaches
• regularly liaise with coaches to align on apprentice interventions
• coordinate with cohort coaches and operations members to align on apprentice development and progress
• utilize resources & learning opportunities provided by Multiverse

Requirements

• deep technical skills and significant experience applying this in an industry setting
• 1+ year of experience in learning & development, coaching, or education
• 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)
• Hands-on experience with cloud-based AI/ML solutions and Responsible AI practices
• Strong written and on-camera communication and presentation abilities

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
• 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!