MLOps Engineer

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