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 ResponsibilitiesApply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV. 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 practicesCore AWS Stack Amazon 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 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. xjdpvnf Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Created: 2026-03-18