MLOps Engineer: Build Scalable AI Pipelines

Global; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Global in London is seeking a MLOps Engineer to build the infrastructure that brings AI/ML models into production, owning pipelines, platforms and processes for deployment, monitoring and governance at scale.

You’ll collaborate with Data Science and Product teams, mentor junior engineers and implement ML-specific CI/CD, feature stores and model registries to keep systems reliable and auditable.

Qualifications

• Operacionalised ML models into production systems.
• Experience building ML pipelines and deployment workflows.
• Strong coding in Python for production use.
• Experience with cloud ML services (AWS).
• Experience with CI/CD for ML projects.

Responsibilities

• Build automated pipelines for model training, validation and deployment.
• Implement monitoring, alerting and automated recovery for ML workloads.
• Establish controls for model lineage and audit trails; enable CI/CD for ML.

Skills

MLOps experience

Python

AWS SageMaker

Feature stores

Terraform

Docker

Cross-disciplinary comms

Tools

SageMaker

Lambda

ECS/EKS

Step Functions

Job description

Global in London is seeking a MLOps Engineer to build the infrastructure that brings AI/ML models into production, owning pipelines, platforms and processes for deployment, monitoring and governance at scale.

You’ll collaborate with Data Science and Product teams, mentor junior engineers and implement ML-specific CI/CD, feature stores and model registries to keep systems reliable and auditable.