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.