Job description
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
Extra information
- Status
- Closed
- Education Level
- Secondary School
- Location
- London Area
- Type of Contract
- Full-time jobs
- Profession type
- Accountancy
- Full UK/EU driving license preferred
- No
- Car Preferred
- No
- Must be eligible to work in the EU
- No
- Cover Letter Required
- No
- Languages
- English
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