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, LangChain
- Azure Policy, Azure RBAC, AWS IAM, AWS SCPs; audit logging; least-privilege design
- ARM/Bicep, Terraform, CloudFormation, CDK
- Azure 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