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.Do you have the right skills and experience for this role Read on to find out, and make your application.This is a hybrid role with the expectation to be in the London office 1-2 times per week.Key ResponsibilitiesDeploy 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 StackAmazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAMWhat We're Looking For Strong hands-on experience with AWS ML infrastructure Experience deploying and monitoring ML models in production Proficiency xjdpvnf 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

Created: 2026-03-17