MLOps Engineer: Deploy & Monitor ML at Scale

Global; Greater London; On-site; GBP 85,000 - 130,000; Full time

Job summary

Global in Greater London is seeking an experienced MLOps Engineer to build and operate the AI production platform. You will own pipelines, model registries, monitoring, and governance to enable Data Science teams to deploy and retrain models at scale.

You'll collaborate with Data Science, Data Engineering and Product, implement CI/CD for ML, and mentor junior engineers to raise operational standards. This role sits in Global:IQ's AI infrastructure team in Greater London.

Qualifications

• Operationalised ML models in production with deployment, monitoring and lifecycle management.
• Strong Python programming for production-grade code.
• Deep AWS knowledge including SageMaker, Lambda, ECS/EKS and Step Functions.
• Experience with ML tooling: experiment tracking, registries, workflow orchestration and feature stores.
• CI/CD and IaC for ML: Terraform, Docker and test automation.
• Excellent cross-disciplinary communication translating DS needs to engineering.

Responsibilities

• ML Infrastructure & Deployment: build automated pipelines and model registries.
• Model Monitoring & Operations: implement monitoring, alerting and auto-recovery.
• Governance & Best Practice: establish lineage, reproducibility and audit trails.
• Collaboration & Enablement: mentor engineers and partner with cross-functional teams.

Skills

MLOps experience

Python

AWS SageMaker

Terraform

Docker

Cross-disciplinary communication

Tools

SageMaker

Lambda

ECS/EKS

Step Functions

Snowflake

Docker

Terraform

Job description

Global in Greater London is seeking an experienced MLOps Engineer to build and operate the AI production platform. You will own pipelines, model registries, monitoring, and governance to enable Data Science teams to deploy and retrain models at scale.

You'll collaborate with Data Science, Data Engineering and Product, implement CI/CD for ML, and mentor junior engineers to raise operational standards. This role sits in Global:IQ's AI infrastructure team in Greater London.