MLOPs Lead

Experis is seeking an experienced MLOps Lead to join a high-profile consulting engagement with a major client in London. This is a fantastic opportunity to lead the design, implementation, and optimization of machine learning operations in a dynamic, multi-cloud environment.

Key Responsibilities:

• Lead the end-to-end deployment and operationalization of machine learning models in production environments.
• Design and implement scalable MLOps pipelines, ensuring robust CI/CD practices for ML workflows.
• Collaborate closely with Data Scientists and Engineering teams to streamline model lifecycle management.
• Drive best practices for monitoring, versioning, and governance of ML models.
• Advise clients on MLOps strategy and architecture, leveraging your consulting expertise.
• Ensure compliance with security, performance, and reliability standards across multi-cloud platforms.

Required Skills & Experience:

• Data Science Background: Strong foundation in data science principles, statistical modeling, and machine learning algorithms.
• Consulting Experience: Proven track record of delivering solutions in a client-facing consulting environment.
• MLOps Expertise: Hands-on experience with tools such as MLflow, Kubeflow, TensorFlow Servi...