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Vice President ML Ops Engineer

barclays.co.uk Logo

Barclays

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Location:
India , Noida

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Embark on a transformative journey as Vice President- ML Operations Engineer at Barclays, where you will play a pivotal role to manage operations within a business area and maintain processes with risk management initiatives. You will take ownership of your work and provide first-class support to our clients with expertise and care.

Job Responsibility:

  • Definition and oversight of data governance and procedures to address control and regulatory requirements, including Data Privacy
  • Definition and oversight of data analytics and insights that support the effective management of the business and well as driving commercial outcomes
  • Development of a team of data professionals with expertise in data analytics, data engineering, data science, and other relevant disciplines
  • Analysis of the bank's current data landscape, identify key data assets and gaps, and develop a roadmap for future data initiatives
  • Monitoring team performance and setting clear performance expectations
  • Lead the design and governance of MLOps frameworks, AWS-based architectures, and automation strategies to enable efficient, secure, and scalable deployment of AI and Generative AI models

Requirements:

  • Experience in Programming & Automation: Python, Bash, SQL
  • MLOps Tools: MLflow, Kubeflow, AWS SageMaker Pipelines
  • Cloud Platforms: AWS (SageMaker, Bedrock, Lambda, Step Functions, CloudWatch)
  • DevOps Expertise: CI/CD (GitHub Actions, Jenkins), Docker, Kubernetes
  • Data Management: Enterprise data governance, ETL processes
  • Leadership Skills: Strategic planning, team management, stakeholder communication
What we offer:
  • Hybrid working
  • Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
  • Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Additional Information:

Job Posted:
January 15, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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