Production ML Engineer - Databricks/MLflow

VIQU IT Recruitment; Greater London; Hybrid; GBP 77,000 - 94,000; Full time

Job summary

VIQU IT Recruitment with a London-based financial services client is seeking an ML Engineer to build, deploy, and operate production‑grade ML solutions in a modern Databricks environment. Hybrid work, up to £85,000 salary.

The role focuses on end‑to‑end ML pipelines, from feature engineering to deployment, with close collaboration between Data Scientists and Platform teams to enable scalable, reliable ML production.

Qualifications

• Strong hands-on development skills in Python, PySpark and SQL.
• Experience building and deploying production ML pipelines and models.
• Knowledge of ML lifecycle, monitoring and model drift handling.

Responsibilities

• Build end-to-end ML pipelines with feature engineering, training, scoring and deployment.
• Productionise models from notebooks into modular, tested code.
• Develop scalable ML solutions using Databricks, Python, PySpark and MLflow.
• Deploy models into batch and real-time environments via APIs and workflows.
• Manage model versioning, promotion and rollback throughout lifecycle.
• Implement monitoring and observability across production models.

Skills

Python

PySpark

SQL

ML deployment

CI/CD

Tools

Databricks

MLflow

Delta Lake

Azure DevOps

GitHub Actions

Job description

VIQU IT Recruitment with a London-based financial services client is seeking an ML Engineer to build, deploy, and operate production‑grade ML solutions in a modern Databricks environment. Hybrid work, up to £85,000 salary.

The role focuses on end‑to‑end ML pipelines, from feature engineering to deployment, with close collaboration between Data Scientists and Platform teams to enable scalable, reliable ML production.