Lead MLOps Engineer

Multiverse is revolutionizing workforce development through their innovative apprenticeship program, partnering with over 1,500 leading companies including Microsoft, Citi, and Just Eat. As their Lead MLOps Engineer, you'll join the AI Team to develop and maintain the Machine Learning pipeline that powers their educational experiences and enterprise solutions. You'll be responsible for establishing, automating, optimizing, and securing data flows while working closely with ML Engineers, Data Scientists, and Product Managers.

The role combines technical expertise in MLOps with broader Infrastructure & DevOps responsibilities. You'll drive strategic decisions around MLOps tooling, manage production AI solutions, and create robust systems for deployment and monitoring. The ideal candidate brings deep experience with Azure, Python, and ML infrastructure, along with strong communication skills and attention to detail.

Working at Multiverse means joining a mission-driven team that's trained over 16,000 professional apprentices. The company offers an attractive benefits package including generous holiday allowance, private medical insurance, hybrid working arrangements with the flexibility to work abroad, and strong emphasis on team culture through regular socials and events.

This is an opportunity to shape the future of professional education while working with cutting-edge ML technologies in a collaborative, high-impact environment. The role requires both technical excellence and the ability to work effectively with stakeholders across the organization, making it ideal for someone who combines strong ML engineering skills with business acumen.