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Vice President ML Ops Engineer

Barclays · Posted Oct 29

Banking, credit card, corporate, investment banking, and wealth management services

Noida, IndiaFull-timeOnsiteLead/Staff10+ years₹40.0L–₹65.0L yearly51 applicants
BankingFinancial ServicesInvestment BankingCredit CardsWealth ManagementPublic Company
Full time

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About the role

Barclays is hiring a Vice President-ML Ops Engineer within its data and technology organisation in Noida, focused on enabling scalable, secure, and efficient deployment of AI and Generative AI models. The role owns enterprise-grade MLOps frameworks, AWS-based architectures (SageMaker, Bedrock, EKS, Lambda, Step Functions), and automation strategies across data ingestion, model training and inference, governance, and observability. It also leads a ML Ops engineering team and partners with Data Science, Engineering, Cloud, and Security stakeholders.

What you will do

  • Lead and mentor a high‑performing ML Ops engineering team, driving ownership, skill development, and cross‑functional collaboration across Data Science, Engineering, Cloud, and Security.
  • Architect and govern scalable, secure, and cost‑optimized AWS platforms (SageMaker, EKS, Lambda, Step Functions) for enterprise ML and GenAI workloads.
  • Design and implement automated ML pipelines covering data ingestion, management, feature processing, and high‑throughput model training/inference workflows, ensuring reliable, low‑latency, production‑grade consumption patterns.
  • Establish robust data and model governance frameworks, including quality checks, lineage, auditability, and regulatory compliance.
  • Build comprehensive model observability and monitoring systems for performance, drift, data quality, latency, and operational health using CloudWatch and custom dashboards.
  • Drive security, reliability, and operational excellence, ensuring strong IAM practices, encryption, secrets management, and cloud cost optimization.

Skills used in this role

What the employer is looking for

  • 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
  • This role requires a flexible working approach, ensuring availability during select hours that overlap with US-based partners and stakeholders.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Barclays

Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.

Industry
Banking
Company size
93000+ employees
Founded
1690
Location
London, United Kingdom
Funding stage
Public Company

Leadership

CV
C.S. Venkatakrishnan

Group Chief Executive

AC
Anna Cross

Group Finance Director

AC
Alistair Currie

Group Chief Operating Officer

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