MLOps Engineer: Build Scalable ML Pipelines & Deployments

PathwaysX; United Kingdom; Hybrid; GBP 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Health Insurance

Private healthcare

Flexible Work

Hybrid work model

Paid Time Off

Learning & Budget

Retirement Plan

Wellness / Stipend

Zusammenfassung

PathwaysX is seeking an experienced MLOps Engineer to build and maintain the infrastructure, automation, and deployment pipelines for production ML models. The role blends software engineering with cloud infrastructure, CI/CD, model lifecycle management, monitoring, and reliability.

You will collaborate with ML engineers, data scientists, and platform engineers to ensure reproducible training, testing, deployment, monitoring, and retraining.

Qualifikationen

• Build automated ML training and deployment pipelines.
• Implement CI/CD workflows for ML applications.
• Automate model testing, validation, release, and rollback procedures.
• Deploy models using cloud infrastructure and containers.
• Monitor model performance, availability, latency, and resource usage.
• Ensure training, testing, and deployment processes are reproducible and scalable.
• Apply access controls, secrets management, and security best practices.

Aufgaben

• Build and maintain automated ML training and deployment pipelines.
• Implement CI/CD workflows for ML apps.
• Manage model versioning, artefact storage, and experiment tracking.
• Deploy models using cloud infrastructure and containers.
• Use Docker and Kubernetes for orchestration.
• Monitor performance, latency, and resource usage.
• Implement alerts for drift and service degradation.
• Automate testing, validation, release, and rollback procedures.
• Manage deployment environments and security controls.
• Document architecture and deployment procedures.
• Troubleshoot production incidents to improve reliability.

Kenntnisse

CI/CD

Docker

Kubernetes

Cloud platforms

Model versioning

Experiment tracking

Monitoring & alerting

Security best practices

Collaboration

Tools

Jenkins

GitLab CI

GitHub Actions

Argo

MLflow

DVC

Jobbeschreibung

PathwaysX is seeking an experienced MLOps Engineer to build and maintain the infrastructure, automation, and deployment pipelines for production ML models. The role blends software engineering with cloud infrastructure, CI/CD, model lifecycle management, monitoring, and reliability.

You will collaborate with ML engineers, data scientists, and platform engineers to ensure reproducible training, testing, deployment, monitoring, and retraining.