Senior MLOps Platform Lead: Scale Pipelines & Governance

Barclays UK; Glasgow; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading bank in the UK is seeking a skilled professional to lead MLOps initiatives. The role involves building model deployment pipelines, ensuring compliance with governance standards, and driving operational excellence. Candidates should have a robust background in Python and experience with ML platforms like SageMaker and Databricks. This position emphasizes collaboration with data teams and mentorship in ML lifecycle management. Ideal for individuals passionate about leveraging technology to enhance bank services.

Qualifications

• Strong Python engineering background is required.
• Experience with deploying ML models in a production environment.
• Knowledge of governance and compliance within ML frameworks.

Responsibilities

• Build and evolve model deployment pipelines.
• Partner with data scientists and engineers on MLOps.
• Drive reproducibility and monitoring of models.

Skills

Strong Python engineering background

Deep experience with SageMaker

Experience with Databricks

Experience with MLflow

Use of CI/CD for ML

Operationalizing ML models at scale

Knowledge of model governance

Familiarity with feature stores

Experience with observability tools

Tools

Kubernetes (EKS/on-prem)

Airflow

Step Functions

Langfuse

Job description

A leading bank in the UK is seeking a skilled professional to lead MLOps initiatives. The role involves building model deployment pipelines, ensuring compliance with governance standards, and driving operational excellence. Candidates should have a robust background in Python and experience with ML platforms like SageMaker and Databricks. This position emphasizes collaboration with data teams and mentorship in ML lifecycle management. Ideal for individuals passionate about leveraging technology to enhance bank services.