Multiverse
Multiverse is a company dedicated to providing equitable access to economic opportunity through professional apprenticeships. It focuses on transforming education and the workforce by identifying, closing, and preventing skills gaps using a platform that leverages AI-powered tools. Multiverse operates by offering personalized learning pathways guided by expert coaches to improve productivity and performance. They work with enterprises to unleash employee potential by building data, AI, and software engineering skills, thereby fueling performance and business transformation. With a mission to make the workforce reflect societal diversity, they empower employees to explore new career paths while tracking measurable ROI of their learning strategies.
Apprenticeships • Corporate Training • Recruitment • Talent Identification • Technology
Instructor - Machine Learning
February 15
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟢 Junior
🤖 Machine Learning Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
Multiverse
Multiverse is a company dedicated to providing equitable access to economic opportunity through professional apprenticeships. It focuses on transforming education and the workforce by identifying, closing, and preventing skills gaps using a platform that leverages AI-powered tools. Multiverse operates by offering personalized learning pathways guided by expert coaches to improve productivity and performance. They work with enterprises to unleash employee potential by building data, AI, and software engineering skills, thereby fueling performance and business transformation. With a mission to make the workforce reflect societal diversity, they empower employees to explore new career paths while tracking measurable ROI of their learning strategies.
Apprenticeships • Corporate Training • Recruitment • Talent Identification • Technology
📋 Description
• We are seeking a passionate and knowledgeable Machine Learning instructor. • Responsible for delivering high-quality curriculum and mentoring learners. • Cover a range of topics, including Fundamentals of ML and AI, Solving Business Problems with Machine Learning, Data Preparation and Feature Engineering. • The Multiverse coaching team is a diverse mix of industry experts, educators, and academics. • Complete a 3-week onboarding programme.
🎯 Requirements
• 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. • Skilled in real-world ML applications and their societal impact. • Proven ability to manage stakeholders at all levels and lead AI/ML projects. • 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. • Strong written and on-camera communication and presentation abilities. • Demonstrated skills in applying business case principles and articulating the business value related to relevant innovations. • Passionate about delivering the best learning opportunities and supporting others on their development journey. • Align closely with company values and can share examples.
🏖️ Benefits
• 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days and 8 bank holidays per year • 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 • weekly socials, company wide events and office snacks!
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