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Job Title: MLOps EngineerJob Type: ContractLocation: Fully RemoteContract Length: 3-6 MonthsMLOps Engineer - Role & ResponsibilitiesDesign, deploy and manage scalable & secure cloud infrastructureApply least privilege across cloud platforms (Azure, RBAC, AWS IAM)Enable audit logging controls appropriate for GenAI/ML workloadsImplement CI/CD for data science/ML pipelines with Azure DevOps or AWS CodePipelineEnable production models across the ML lifecycle (deployment, monitoring for drift, retraining, technical evaluation, and business validation)MLOps Engineer - Required ExperienceAzure ML, Azure AI Services, Azure AI Search; AWS SageMaker, AWS Bedrock, AWS LambdaExposure to Generative AI and Agentic AI ecosystems, such as Azure OpenAI, Azure AI Foundry/Hub, Bedrock, Anthropic Claude, OpenAI API, LlamaCloud, LangChainAzure Policy, Azure RBAC, AWS IAM, AWS SCPs; audit logging; least-privilege designARM/Bicep, Terraform, CloudFormation, CDKAzure DevOps or AWS CodePipeline; integration and delivery for data science and ML workflowsAzure Blob/Cosmos/SQL/Key Vault; AWS S3/DynamoDB/RDS; understanding of OLTP and OLAP patternsAzure DevOps or AWS CodePipeline; integration and delivery for data science and ML workflows.Interviews: October 2025Start Date: November 2025How to Apply:Apply to Gary Hargreaves at X4 Technology to learn more about the role or connect with me on LinkedIn to hear about regular job updates available with X4 Technology