At a Glance
- Tasks: Manage the Databricks Lakehouse Platform and MLOps services for optimal performance and user satisfaction.
- Company: Join a forward-thinking company committed to diversity and innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous improvement and career development.
- Why this job: Lead impactful projects in machine learning and shape the future of data solutions.
- Qualifications: Experience with data platforms and MLOps in complex environments is essential.
The predicted salary is between 60000 - 80000 £ per year.
Platform Manager – Machine Learning Operations
Type: Permanent – Hybrid working, averaging 2 to 3 days per month in the office.
Reports to: Head of Data Platform and Services.
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 solutions.
Requirements
- 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.
BSI is an Equal Opportunity Employer dedicated to fostering a diverse and inclusive workplace.
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Platform Manager - ML Ops employer: BSI
BSI is an excellent employer for those passionate about the medical devices sector, offering a dynamic and inclusive work environment that fosters creativity and excellence. With opportunities for professional growth and development, employees can thrive while delivering impactful training solutions that enhance client performance. The remote nature of this role allows for flexibility, making it an ideal position for those seeking meaningful and rewarding employment in a supportive setting.
