Databricks MLOps Lead & Platform Architect

DSR Global; Slough; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

DSR Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/CD, testing, deployment and monitoring.

The position is hybrid, with 2-3 days onsite in London (Covent Garden) or Milton Keynes.

Qualifications

• 3–5 years’ experience in data/analytics platforms or MLOps.
• Hands-on Databricks administration and production support.
• Experience implementing MLOps across model lifecycle (CI/CD, versioning, monitoring).
• Strong stakeholder management; translate business outcomes into platform priorities.
• Experience with security, risk and governance for data and AI services.
• Experience managing suppliers and delivery partners, including service performance.

Responsibilities

• Own and manage day-to-day operation of the Databricks Lakehouse Platform and MLOps services.
• Lead platform service management activities: incident, problem, change, and request processes.
• Develop and maintain standardized MLOps frameworks, tooling, and best practices.
• Collaborate with Data Engineering and Data Science to operationalize ML models through CI/CD, testing, deployment, monitoring.
• Ensure robust security, compliance and governance controls across the platform.
• Own Databricks platform roadmap, drive improvement, standards, cost optimization, scalable patterns.
• Manage vendor and supplier relationships, overseeing performance and support.

Skills

MLOps practices

CI/CD pipelines

Stakeholder management

Security governance

Vendor management

Platform roadmap

Tools

Databricks

Job description

DSR Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/CD, testing, deployment and monitoring.

The position is hybrid, with 2-3 days onsite in London (Covent Garden) or Milton Keynes.