AI - Technical Trainer

AI - Technical Trainer 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 Technical Trainer with working knowledge in training, tuning, deploying, and monitoring classical and deep Machine Learning models. As an AI Technical Trainer 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 ... (truncated, view full listing at source)