MLOps Engineer – Azure & AI/ML Platforms (all genders)

In this role you will design, deploy, and operate MLOps platforms on Azure to run enterprise-scale AI systems, including LLM-based solutions. You will own the model lifecycle, pipelines, and monitoring to ensure reliable production workloads. You’ll collaborate with data, AI, and product teams to deliver scalable, compliant AI capabilities. This position offers ownership, modern cloud tech, and a chance to shape data-driven solutions across the business.

• Flexible hybrid setup
• Ownership and freedom to shape solutions
• Access to modern cloud, data & AI technologies
• Personal development and training budget
• Certifications support
• Culture of trust and collaboration

• Design and operate Azure-based MLOps platforms for enterprise AI systems
• Deploy and monitor AI/ML models in production, including LLMs
• Build and maintain ML pipelines for training, deployment, versioning, and rollback
• Implement model monitoring, logging, performance tracking, and lifecycle management
• Integrate AI systems with Azure ML, Databricks, and secure access management
• Collaborate with data engineers, AI engineers, and product teams
• Ensure reliability, scalability, and compliance of AI workloads in production

• Strong DevOps and MLOps experience in Azure environments
• Hands-on with Azure ML, Databricks, and AI/ML pipelines
• Proven deployment and operation of AI/ML models in production
• Solid understanding of model versioning, monitoring, and lifecycle management
• Experience with CI/CD for ML systems
• Ability to work independently and deliver value with minimal onboarding
• Clear communication with technical and non-technical stakeholders

• Communication
• Cross-functional collaboration
• Independent problem-solving
• Azure ML
• Databricks
• AI/ML pipelines