Lead MLOps Engineer

An exciting opportunity has arisen for a Lead MLOps Engineer to join an industry leading team renowned for creating innovative Computer Vision and NLP solutions.

This pivotal role offers the chance to lead cutting-edge projects, providing strategic guidance to clients while working alongside a talented team of professionals.

What you’ll be doing:

As a Lead Consultant, you will:

• Lead and advise on multiple projects simultaneously, focusing on the implementation of DevOps and MLOps best practices.
• Manage and optimise Azure resources and Kubernetes components, enhancing their clients’ strategic capabilities.
• Utilise your expertise in Python, ML models, and emerging technologies to drive forward-thinking solutions.
• Engage directly with clients, offering strategic insight and guidance to achieve their goals.
• Work collaboratively within a hybrid team, fostering an environment of innovation and continuous improvement.

Experience you’ll need to apply:

• Extensive experience in DevOps and a comprehensive understanding of Python development.
• Proven track record in ML model creation, deployment, and management.
• Familiarity with cloud platforms (AWS, Azure), CI/CD pipelines, Agile methodologies, and Infrastructure as Code (IaC) systems.
• Strong client-facing skills, with the ability to communicate complex technical solutions effectively.
• A passion for open source and a desire to contribute to the community.

What you’ll get in return for your experience:

• A competitive salary up to £110,000 plus bonus and benefits.
• A supportive, flexible working environment, with a hybrid work pattern that promotes work-life balance.
• Opportunities for professional development and growth within a company committed to diversity, equity, and inclusion.
• Access to cutting-edge technologies and projects that make a real impact.

What next

If you’re passionate about leveraging technology to solve complex problems and are seeking a role where you can make a significant impact, we’d love to hear from you.