Databricks Platform Manager - ML Ops

BSI; Greater London; Hybrid; GBP 90,000 - 135,000; Full time

Job summary

BSI is seeking a Platform Manager for Machine Learning Operations to own the Databricks Lakehouse Platform and MLOps services, ensuring high availability, security, and performance across our global data platforms.

This permanent, hybrid role is based in London/Milton Keynes with involvement in Kuala Lumpur, and requires coordinating incident, change, and release processes, partnering with Data Engineering and Data Science teams to operationalize ML models.

Qualifications

• Proven experience managing data/analytics platforms or MLOps in enterprise.
• Hands-on Databricks workspace administration and security.
• Experience implementing MLOps across the ML lifecycle.

Responsibilities

• Own and operate the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction.
• Lead platform service management: incident, problem, change, and request processes with escalation.
• Develop and maintain standardized MLOps frameworks, tooling, and best practices for end-to-end ML lifecycle.
• Collaborate with Data Engineering and Data Science to operationalize ML models via CI/CD, testing, deployment, and monitoring.
• Ensure robust security, compliance, governance across the platform, including access management and audit readiness.
• Own the platform roadmap, drive improvements, standards, cost optimization, scalable architecture.
• Manage vendor relationships, service performance, release planning, and commercial considerations.
• Act as the main platform stakeholder interface, providing guidance, training, and enablement for data and AI solutions.

Skills

MLOps

Databricks

Platform admin

Security governance

Supplier management

Stakeholder management

CI/CD for ML

Tools

Databricks

CI/CD tools

Delta Lake

Unity Catalog

Access controls

Job description

Platform Manager – Machine Learning Operations

Location: London/Milton Keynes, United Kingdom & Kuala Lumpur, Malaysia

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.