We're hiring a Machine Learning Engineer to help design and scale a modern ML platform within a centralised engineering team.
You'll play a key role in enabling data science teams to take models from research into production at scale.What you'll be doingArchitecting and operating ML platforms for large-scale AI systemsBuilding and maintaining reliable CI/CD pipelines for MLImplementing model monitoring, observability, and drift detectionOrchestrating ML workflows with modern pipeline toolsCollaborating with Data Engineers and Data Scientists to deliver end-to-end ML solutionsWhat we're looking for5+ years' experience in Machine Learning, Data Engineering, or MLOps rolesStrong experience deploying ML systems in productionSkilled with frameworks such as PyTorch, TensorFlow, Scikit-learnHands-on with model tracking and deployment tools (e.g., MLflow, SageMaker, Azure ML)Familiar with workflow tools such as Airflow or similarStrong background in cloud-native infrastructure and containerisation (Docker, Kubernetes)