As a Machine Learning Ops Engineer, you will specialise in the operational side of machine learning by automating model training, deployment, monitoring, and lifecycle management. You will help ensure that production AI models remain reliable, reproducible, and continuously improving across enterprise environments.

What You’ll Do and How You’ll Succeed

• Build and maintain automated ML training pipelines, including scheduled retraining and hyperparameter tuning.
• Implement model versioning, experiment tracking, and model registry practices using tools such as MLflow and Weights & Biases.
• Design model monitoring dashboards to track performance drift, data drift, and prediction distribution shifts.
• Set up A/B testing infrastructure to compare model performance in production.
• Manage GPU and compute resources for model training, including cost optimisation and scheduling.
• Implem...