Job Title : MLOps Engineer
Job Type : Contract
Location : Fully Remote
Contract Length : 3-6 Months
MLOps Engineer - Role & Responsibilities
- Design, deploy and manage scalable & secure cloud infrastructure
- Apply least privilege across cloud platforms (Azure, RBAC, AWS IAM)
- Enable audit logging controls appropriate for GenAI / ML workloads
- Implement CI / CD for data science / ML pipelines with Azure DevOps or AWS CodePipeline
- Enable production models across the ML lifecycle (deployment, monitoring for drift, retraining, technical evaluation, and business validation)
MLOps Engineer - Required Experience
Azure ML, Azure AI Services, Azure AI Search;AWS SageMaker, AWS Bedrock, AWS Lambda
Exposure 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 design
ARM / Bicep, Terraform, CloudFormation, CDKAzure DevOps or AWS CodePipeline;integration and delivery for data science and ML workflows
Azure Blob / Cosmos / SQL / Key Vault;AWS S3 / DynamoDB / RDS;understanding of OLTP and OLAP patterns
Azure DevOps or AWS CodePipeline;integration and delivery for data science and ML workflows.
Interviews : October 2025
Start Date : November 2025
How 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