I am hiring for Machine Learning Engineer (ML infrastructure/Databricks/MLOps/Airflow / Insurance) Location: London - 2 Days onsite weekly Job Description Design and implement scalable machine learning infrastructure on the Databricks Lakehouse platform. Build and manage end-to-end MLOps pipelines including data preparation, model training, deployment, and retraining. Collaborate with data scientists, engineers, and product teams to optimize machine learning workflows. Implement experiment tracking, model registry, and model deployment using MLflow. Automate testing, validation, and monitoring of ML models using Databricks tools and monitoring platforms. Orchestrate machine learning workflows and pipelines using Airflow and Databricks environments. Key Skills Python, Machine Learning, MLOps, Databricks, MLflow, Apache Airflow, Data Engineering, Lakehouse Architecture, Model Deployment, CI/CD