At a Glance
- Tasks: Lead the Databricks platform and enhance MLOps capabilities in a dynamic environment.
- Company: Join a global client focused on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting chance to shape the future of machine learning operations.
- Why this job: Make an impact by optimising AI solutions and collaborating with talented teams.
- Qualifications: 3-5 years in data/analytics platforms and hands-on Databricks experience required.
The predicted salary is between 63000 - 77000 £ per year.
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
If you're interested or would like to find out more, please send your latest CV and we'll be in touch with further details
MLOps AI Lead & Databricks Platform Specialist in Slough employer: DSR Global
Join a forward-thinking company that prioritises innovation and collaboration, where as an MLOps AI Lead & Databricks Platform Specialist, you will play a pivotal role in shaping the future of data and AI services. Our inclusive work culture fosters continuous learning and professional growth, offering you the chance to develop your skills while working with cutting-edge technology in a dynamic environment. Located in a vibrant area, we provide unique advantages such as flexible working arrangements and a strong commitment to employee well-being, making us an excellent employer for those seeking meaningful and rewarding careers.
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We think you need these skills to ace MLOps AI Lead & Databricks Platform Specialist in Slough
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