hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.

Key Responsibilities

• MLOps Leadership: Build and evolve model deployment pipelines, registries, and monitoring frameworks.
• Tooling & Integration: Implement and optimize SageMaker, Databricks, MLflow, and related orchestration tools.
• Governance & Risk: Ensure compliance with model governance, auditability, and AI safety standards.
• Operational Excellence: Drive reproducibility, lineage tracking, drift detection, and rollback strategies.
• Hands-On Delivery: Write production-grade Python code for automation, orchestration, and monitoring.
• Collaboration: Partner with data scientists, quants, and infra teams to align MLOps capabilities with business needs.
• Mentorship: Coach engineers on best practices for ML lifecycle management and secure deployment.

Required Skills

• Stron...