Salary: £110,000 - 121,000 per year Requirements: 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) Active SC Clearance 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 Technologies: AWS CI/CD Cloud Excel Support Machine Learning Python Security DevOps More: 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 remote, short-term contract role with an initial length of 8 weeks, offering between £500 and £550 per day (Inside IR35). We welcome applicants who can excel in a fast-paced environment. last updated 4 week of 2026