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