MLOps AI Lead & Databricks Platform Specialist

We are currently seeking an MLOps AI Lead & Databricks Platform Specialist to join a global end client, taking ownership of the Databricks platform and supporting the delivery of robust, scalable MLOps capabilities.

We are ideally looking for someone on a permanent basis , although contract-to-permanent could also be considered.

Location: Hybrid – 2 -3 days per week onsite in London, Covent Garden / Milton Keynes.

Experience required:

• 3 – 5 years’ experience
• Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment.
• Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access controls, and production support)
• Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning, monitoring, reproducibility)
• Strong stakeholder management; able to translate business outcomes into platform priorities and service commitments.
• Experience working with security, risk, and governance teams to evidence controls for data and AI services
• Experience managing suppliers and delivery partners, including service performance and support processes.
• Heavy on Databricks

Key Responsibilities:

• Own and manage the day-to-day operation of the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction.
• Lead platform service management activities, including incident, problem, change, and request processes, while coordinating support and escalation procedures.
• Develop and maintain standardized MLOps frameworks, tooling, and best practices to support the end-to-end machine learning lifecycle.
• Collaborate with Data Engineering and Data Science teams to operationalize ML models through CI/CD, automated testing, deployment, and monitoring capabilities.
• Ensure robust security, compliance, and governance controls across the platform, including access management, data protection, audit readiness, and risk mitigation.
• Own the Databricks platform roadmap, driving continuous improvement, technical standards, cost optimization, and scalable architecture patterns.
• Manage vendor and supplier relationships, overseeing service performance, support activities, release planning, and commercial considerations.
• Act as the primary platform stakeholder interface, providing guidance, training, documentation, and enablement to help teams effectively build and deploy data and AI solution