Instructor - Machine Learning
Instructor - Machine Learning
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Job Description
Were on a mission to provide equitable access to economic opportunity for everyone.
We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing highpotential individuals both inside and outside of a companys current workforce and then we create applied guided and equitable learning programs with measurable impact. Because we believe the world needs a better way to match its potential.
We work with over 1500 leading companies including the likes of Microsoft Citi and Just Eat to help solve their businesscritical problems and weve trained over 16000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters together.
Join Multiverse and help us set a new course for work.
The Opportunity
We are seeking a passionate and knowledgeable Machine Learning instructor with working knowledge in training tuning deploying and monitoring classical and deep Machine Learning models. As Machine Learning Instructor you will be responsible for delivering highquality 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 Learningrelated content in higherlevel 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 3week onboarding programme covering:
Modern teaching methodologies for a handson 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 industryrelevant 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 dropin 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 uptodate 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: Handson experience with cloudbased AI/ML solutions and Responsible AI practices. Skilled in realworld 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 crossfunctional projects and communicate complex technical concepts to nontechnical stakeholders.
Strong written and oncamera 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.
You align closely with our values and can share examples of how you have demonstrated them.
How we hire
Benefits
Time off 27 days holiday plus 7 additional days off: 1 life event day 2 volunteer days and 4 companywide wellbeing days and 8 bank holidays per year
Health & Wellness private medical Insurance with Bupa a medical cashback scheme life insurance gym membership & wellness resources through Gympass and access to Spill all in one mental health support
Hybrid & remote work offering with monthly visits to the London office and the opportunity to work abroad 45 days a year
Team fun weekly socials company wide events and office snacks!
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.
Right to Work
Do you have the right to work in the UK Unfortunately at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.
Safeguarding
All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (DBS) for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.
Employment Type
Full-Time
