Machine Learning Engineer (ML infrastructure/Databricks/MLOps/Airflow/Insurance)

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