Instructor - Machine Learning, Multiverse
Providing equitable access to economic opportunity for everyone.
Be an early applicant
Providing equitable access to economic opportunity for everyone.
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To provide equitable access to economic opportunity, for everyone.
Role
Who you are
- 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
- 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
- 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
- You align closely with our values and can share examples of how you have demonstrated them
What the job involves
- As Machine Learning Instructor 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
- 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
- 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
- Advanced Programmes only: undertake regular specialized Higher Education CPD to own your own development of the degree apprenticeship experience
Salary benchmarks
Our take
In today's tech-driven workplace, skills like digital marketing, software engineering, product design, and data analysis are pivotal. Traditional pathways to acquiring these skills are evolving, with coding schools like Makers Academy challenging the necessity of a formal Computer Science degree.
Recognizing the need for inclusive pathways, apprenticeships have gained prominence, spurred by government mandates like the 2016 levy. Multiverse (formerly WhiteHat) exemplifies this shift, offering opportunities for all to reskill and thrive in the tech industry.
Embracing a mission of accessibility and innovation, Multiverse's recent strategic moves, including acquiring Californian AI firm, Searchlight and attracting top-tier talent, underscores its commitment to excellence. Partnering with industry giants like Google and Facebook, Multiverse is driving transformative change, democratizing access to tech education.
Steph
Company Specialist at Welcome to the Jungle
Meet the team
70 people
Gary, Chief Learning Officer
Our mission
Unlocking economic opportunity and potential for individuals and orgs by closing skill gaps through measured, applied, guided and equitable learning.Company
Employee endorsements
Opportunities to learn
"Whether that's the content in the course you are teaching of which you're developing a deeper understanding, weekly CPD (continuous professional..."
Funding (last 2 of 5 rounds)
Jun 2022
$220m
SERIES D
Sep 2021
$130m
SERIES C
Total funding: $414m
Company benefits
- Quarterly M-Powered Days to refresh and recharge
- End of Year Company Shut Down
- A focus on wellbeing with access to Spill therapy support, an Employee Assistance Programme and an internal Wellbeing working group.
- 45 days of work from abroad per year
- Free access to Wellhub's Starter, Basic and Bronze plans (free gym + more)
- 27 days holiday, plus 1 life event day and 2 volunteer days
- Full Medical Insurance coverage through Bupa, and your medical history is disregarded.
- Life Insurance coverage through AIG. This benefit pays out 3x your base salary to your beneficiaries.
- Our Cycle to Work scheme enables bike ownership with up to 42% savings
- Tech scheme: you can purchase new electronics, including accessories, up to £1,000, and spread the cost through 12 interest-free monthly repayments.
- Workplace Nursery benefit is provided by Enjoy Benefits and is there to help employees with the cost of childcare at a nursery setting.
Company values
- We believe in equality of opportunity
- We treat others as we want to be treated
- We adopt an owner mentality
- Development is at our core
- We make decisions based on facts and logic
- We don’t take ourselves too seriously
Company HQ
Paddington, London, UK
Articles
Leadership
Euan Blair
(CEO)Prior to founding Multiverse, Euan was the UK CEO of Sarina Russo Group, an employment and training provider with more than 1,500 staff worldwide and a turnover exceeding £100 million.
People progressing
Peppa is VP of Go-To-Market, UK&I. She joined Multiverse as an Account Executive in the Go To Market Team and was promoted to Regional Director within 7 months, then progressed to Area Vice President.
People breakdown
13%
11%
6%
68%
2%
Asian
Black or African American
Multiracial / Multiethnic
White
Unknown
Last updated on 10 September 2024
Diversity, Equity & Inclusion at Multiverse
Serena Vaughan (Career Mobility Lead)
- We want to be a leader in Diversity, Equity & Inclusion (DEI), so we’re working hard to drive the change we want to see in the world, inside Multiverse.
- Everything we do in the DEI space is undertaken with the goal of being representative of the geographies in which we operate – and our apprentice community. Gender diversity has been a long-term challenge for the tech world. We're proud that 55% of our UK Team identify as women, this increases to 64% of our Global Leadership Team (director level and above). We're also proud of our thriving LGBTQQIAAP community, comprising 11% of our UK Team.
- We're committed to improving the diversity of our workforce, at all levels. We continue to invest in early talent through our in-house apprenticeship scheme – something we know is a fantastic route into our organization for exceptional talent from a diversity of backgrounds.
- Last year we identified improving the diversity of our Global Leadership Team (director level+) internally as an area of focus. Steps that we took included introducing robust DEI monitoring processes, rolling out Inclusive Recruitment Training to all staff involved in the hiring, and launching our first internal, Global Leadership Accelerator program.
- We’re proud that in the last 12 months, the representation of colleagues from ethnic minority backgrounds at director+ levels, globally, has increased from 6% to 19%. This is good progress but we still have work to do and are committed to building a leadership team that is representative of our colleagues and of the communities we serve.
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