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.