# MLOps Engineer

**Company**: Barclays
**Location**: Canary Wharf, 1 Churchill Place
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://barclays.wd3.myworkdayjobs.com/en-US/External_Career_Site_Barclays/job/Canary-Wharf-1-Churchill-Place/Lead-Platform-Engineer_JR-0000079548?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/mlops-engineer-8f325d29-dc1/

## Description

We are seeking an experienced MLOps Engineer to design, develop, and improve software that provides business, platform, and technology capabilities for our customers and colleagues.

**Key Responsibilities**

- Build and evolve model deployment pipelines, registries, and monitoring frameworks.

- Implement and optimise SageMaker, Databricks, MLflow, and related orchestration tools.

- Ensure compliance with model governance, auditability, and AI safety standards.

- Drive reproducibility, lineage tracking, drift detection, and rollback strategies.

- Write production-grade Python code for automation, orchestration, and monitoring.

- Partner with data scientists, quants, and infra teams to align MLOps capabilities with business needs.

- Coach engineers on best practices for ML lifecycle management and secure deployment.

**Required Skills**

- Strong Python engineering background.

- Deep 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.

**Preferred Tech**

- Kubernetes (EKS/on-prem), Airflow, Step Functions for orchestration.

- Databricks for data engineering and ML pipelines.

- MLflow for experiment tracking and model registry.

- SageMaker for training and deployment.

- Langfuse for evaluation and tracing.

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Python
- SageMaker
- Databricks
- MLflow
- CI/CD
- model governance
- compliance
- risk management

### Nice to have
- Kubernetes
- Airflow
- Step Functions
- Langfuse

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Source: [Apply at barclays.wd3.myworkdayjobs.com](https://barclays.wd3.myworkdayjobs.com/en-US/External_Career_Site_Barclays/job/Canary-Wharf-1-Churchill-Place/Lead-Platform-Engineer_JR-0000079548?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)