MLOps Platform Lead

Barclays; Glasgow; On-site; GBP 90,000 - 120,000; Full time

Job summary

Barclays is seeking an experienced MLOps Engineer to lead deployment pipelines and governance for enterprise ML initiatives. You will implement and optimize SageMaker, Databricks, and MLflow, driving reproducibility, security, and scalable AI solutions across teams.

Strong emphasis on collaboration with data scientists and infra engineers. The role requires hands-on Python development, mentoring, and a focus on operational excellence in model deployment and monitoring within Barclays' technology

Qualifications

• Strong Python engineering background.
• Experience with SageMaker, Databricks, MLflow, and CI/CD for ML.
• Proven track record in operationalizing ML models at scale.
• Knowledge of model governance, compliance, and risk management.
• Familiarity with feature stores, model registries, and observability tools (Langfuse, Observe).

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.

Skills

Python

SageMaker

Databricks

MLflow

CI/CD for ML

Operationalizing ML at scale

Model governance

Feature stores

Model registries

Observability tools

Langfuse

Observe

Kubernetes

Airflow

Step Functions

SageMaker

Tools

Kubernetes (EKS/on-prem)

Airflow

Step Functions

Databricks

MLflow

SageMaker

Job description

Barclays is seeking an experienced MLOps Engineer to lead deployment pipelines and governance for enterprise ML initiatives. You will implement and optimize SageMaker, Databricks, and MLflow, driving reproducibility, security, and scalable AI solutions across teams.

Strong emphasis on collaboration with data scientists and infra engineers. The role requires hands-on Python development, mentoring, and a focus on operational excellence in model deployment and monitoring within Barclays' technology