Job Description
Job Description
Anticipated Contract End Date/Length: December 31, 2026
Work set up: Hybrid, 2–3 days on site per week (must be eligible for BPSS)
Our client in the Information Technology and Services industry is looking for a MLOps Engineer with strong expertise in AWS-native services, infrastructure automation, and end-to-end ML workflow operations. The role focuses on designing scalable ML infrastructure, operationalising machine learning solutions, and implementing best practices across the ML lifecycle using CloudFormation, SageMaker, Glue, Lambda, Spark, and Python. This position plays a key role in ensuring secure, scalable, and compliant ML workloads aligned with enterprise standards while enabling reliable model deployment and monitoring in production environments.
What you will do:
- Design, automate, and maintain scalable ML infrastructure using AWS CloudFormation and AWS-native services.
- Build, ...