AI Technical Trainer

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1500 companies to deliver a new kind of learning thats transforming todays 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 theyve 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 UKs first EdTech unicorn.

But we arent stopping there. With a strong operational footprint and 800 employees we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples 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 durable skills continually.

• Maintain an owners 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 Qualifications & Experience:

  1. 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.

  2. Strong written and on-camera communication and presentation abilities adept at engaging and motivating learners.

  3. Demonstrated skills in applying business case principles and articulating the business value related to relevant innovations.

  4. You are passionate about delivering the best learning opportunities and supporting others on their development journey.

  5. You align closely with our values and can share examples of how you have demonstrated them.

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 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 - youll 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 thats always stocked!

Our Commitment to Diversity Equity and Inclusion

Were an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race colour ancestry religion sex national origin 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.

Our Commitment to Safeguarding

Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).

For roles that will involve a Regulated Activity successful applicants must also undergo an Enhanced DBS check including a Childrens Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions cautions reprimands and final warnings.

Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected and possible referral to the police and the DBS.

Required Experience:

IC