ML Operations Engineer

We are seeking an ML Operations Engineer (MLOps) to build and maintain the infrastructure that enables reliable training, deployment, and monitoring of machine learning models at scale. You’ll bridge the gap between ML research and production systems.

Responsibilities:

• Design and manage ML pipelines for training, testing, and deployment.
• Build CI/CD workflows for machine learning models.
• Deploy and monitor models in production environments.
• Ensure model reliability, scalability, and performance.
• Implement monitoring, logging, and alerting for ML systems.
• Collaborate with AI engineers and data teams to operationalise models.

Requirements:

• Strong experience with cloud platforms (AWS, GCP, or Azure).
• Proficiency in Python and ML tooling.
• Experience with containerisation (Docker) and orchestration (Kuberne...