Platform Engineer SageMaker - SC Cleared

7 Days Old

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
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Location:
Tyne And Wear
Job Type:
FullTime
Category:
Engineering

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