ML Ops Platform Lead - Databricks & Lakehouse in Milton Keynes

ML Ops Platform Lead - Databricks & Lakehouse in Milton Keynes

Milton Keynes Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
BSI

At a Glance

  • Tasks: Lead the Databricks Lakehouse Platform and oversee MLOps services.
  • Company: Join BSI, a forward-thinking company at the forefront of AI innovation.
  • Benefits: Enjoy a hybrid work setup, competitive salary, and professional growth opportunities.
  • Other info: Be part of a dynamic team driving impactful data and AI workflows.
  • Why this job: Shape the future of machine learning operations and collaborate with top talent.
  • Qualifications: Experience in Databricks administration and CI/CD pipelines is essential.

The predicted salary is between 80000 - 100000 Β£ per year.

BSI is hiring a Platform Manager – Machine Learning Operations to oversee the Databricks Lakehouse Platform and MLOps services.

The role requires hands-on Databricks administration, CI/CD pipelines, and governance across data and AI workflows.

You will lead incidents, changes, and supplier collaborations while shaping the platform roadmap.

You will work in a hybrid setup with monthly in-office presence, coordinating with Data Engineering and Data Science teams to operationalize ML models and

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ML Ops Platform Lead - Databricks & Lakehouse in Milton Keynes 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.

BSI

Contact Details:

BSI Recruitment Team

We think you need these skills to ace ML Ops Platform Lead - Databricks & Lakehouse in Milton Keynes

Databricks Administration
MLOps Services
CI/CD Pipelines
Data Governance
AI Workflows
Incident Management
Change Management