MLOps AI Lead & Databricks Platform Specialist

DSR Global; Greater London; Hybrid; GBP 34,000 - 56,000; Full time

Job summary

DSR Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own and operate the Databricks Lakehouse Platform and drive scalable MLOps capabilities across our enterprise. You will lead platform service management, establish standardized MLOps frameworks, and collaborate with Data Engineering/Data Science to deploy ML models with CI/CD, testing, deployment and monitoring.

The role is hybrid with 2–3 days onsite in London (Covent Garden) or Milton Keynes, balancing incident

Qualifications

• 3–5 years experience in data/analytics platforms and/or MLOps
• Hands-on Databricks experience including workspace administration
• Experience implementing MLOps across the model lifecycle
• Strong stakeholder management to align platform priorities
• Experience with security, risk and governance for data/AI services
• Experience managing suppliers and delivery partners
• Strong focus on Databricks

Responsibilities

• Own and manage the day-to-day operation of our 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 our 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 solutions

Skills

MLOps

Stakeholder management

Security & governance

Data platform management

CI/CD practices

Tools

Databricks

Delta Lake

Unity Catalog

CI/CD tooling

Access controls

Job description

Salary: £34,000 - 56,000 per year

Requirements

• 3–5 years experience


• Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment


• Hands-on experience operating Databricks, including workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access controls, and production support


• Experience implementing MLOps practices across the model lifecycle, including CI/CD, versioning, monitoring, and reproducibility


• Strong stakeholder management skills, with the ability 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


• Strong focus on Databricks

Responsibilities

• Own and manage the day-to-day operation of our 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 our 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 our 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 solutions

Technologies

• AI


• CI/CD


• Databricks


• Support


• Machine Learning


• MLOps


• Security


• Unity


• GameDev

More

We are seeking an MLOps AI Lead & Databricks Platform Specialist to join our 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. This is a hybrid role with 2–3 days per week onsite in London, Covent Garden or Milton Keynes.

last updated 36 week of 2026