AWS MLOps Engineer

We are looking for a skilled AWS MLOps Engineer to help deploy, automate, and manage production-grade machine learning solutions within our clients AWS environment. This is a great opportunity for a MLOps Engineer to become a vital part on a new data team.

This is a hybrid role with the expectation to be in the London office 1-2 times per week.

Key Responsibilities

Deploy ML models as real-time endpoints using Amazon SageMaker

• Build and manage batch inference pipelines
  
• Implement CI/CD workflows for ML using Git-based processes
  
• Containerize applications using Docker
  
• Monitor model performance, data drift, and system health using CloudWatch
  
• Automate data pipelines and feature workflows using Python & SQL
  
• Ensure secure access and governance using AWS IAM and best practices
  
  Core AWS Stack
  
  Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM
  
  What We're Looking For
  
  ✔ Strong hands-on experience with AWS ML infrastructure
  ✔ Experience deploying and monitoring ML models in production
  ✔ Proficiency in Python and SQL
  ✔ Knowledge of Docker and CI/CD pipelines
  ✔ Experience with Infrastructure-as-Code (CloudFormation preferred)
  
  This role focuses on transforming machine learning from experimentation into secure, scalable, production-ready systems.
  
  Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy