Production ML Engineer — Databricks, PySpark, MLflow, Hybrid

Intact Insurance; United Kingdom; Hybrid; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Annual discretionary bonus

Pension up to 11%

Hybrid work + flexible hours

25 days annual leave + bank holidays +

Job summary

Intact Insurance, the UK arm formerly RSA, is recruiting a Machine Learning Engineer to build and run production-ready ML systems that impact the business. You will collaborate with Data Scientists and engineering teams, shaping the ML roadmap and delivering scalable solutions.

The role emphasises deploying models in batch and real-time environments, monitoring drift, and ensuring reliable, well-documented software with CI/CD integration.

Qualifications

• Experience with ML platforms including Databricks, MLflow, Delta Lake, and cloud environments.
• Proficient in Python, PySpark, and SQL, following production coding best practices.
• Understanding of data, distributed ML pipelines, and model deployment patterns.

Responsibilities

• Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow.
• Productionise Data Science models, converting notebooks into modular, tested, production-ready code.
• Deploy models into batch and real-time environments, managing versioning, promotion, rollback, and scheduled workflows via MLflow and APIs.
• Implement monitoring and observability, including data and model drift detection, performance alerts, logging, and automated retraining.
• Collaborate with Data Engineering and Platform teams on CI/CD integration, pipeline performance, compute optimisation, and secure deployment patterns.
• Maintain engineering standards, ensuring high-quality testing, documentation, code quality, reproducibility, and operational reliability.

Skills

Python

PySpark

SQL

CI/CD

Containerisation

API integration

Model deployment

Monitoring

Tools

Databricks

MLflow

Delta Lake

Job description

Intact Insurance, the UK arm formerly RSA, is recruiting a Machine Learning Engineer to build and run production-ready ML systems that impact the business. You will collaborate with Data Scientists and engineering teams, shaping the ML roadmap and delivering scalable solutions.

The role emphasises deploying models in batch and real-time environments, monitoring drift, and ensuring reliable, well-documented software with CI/CD integration.