ML Ops Engineer – AWS SageMaker

MLOps Engineer – AWS SageMaker Contract Length: Initial 8-week contract Location: Remote Security Clearance: SC Clearance £500pd - £550pd – (Inside IR35) Role Overview We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker to support the delivery, deployment, and operationalisation of machine learning models. This is a short-term contract role, ideal for someone who can hit the ground running in a fast-paced environment. Key Responsibilities • Design, build, and maintain MLOps pipelines using AWS SageMaker • Deploy, monitor, and manage machine learning models in production • Automate model training, testing, and deployment workflows • Ensure scalability, reliability, and security of ML systems • Collaborate with data scientists and engineering teams to productionise models • Troubleshoot and optimise existing ML pipelines Required Skills & Experience • Strong hands-on experience with AWS SageMaker • Solid understanding of MLOps best practices • Experience with CI/CD pipelines for ML workloads • Proficiency with Python and relevant ML frameworks • Experience working in cloud-based environments (AWS) Security Requirements • Active SC Clearance