ML Engineer: Production Pipelines & Real-Time Models

Intact Insurance UK; England; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Annual discretionary bonus

Pension contributions up to 11%

Hybrid working + flexible hours

Leave + buy/sell options

Health & wellbeing + virtual GP

Career development and mentoring

Inclusive culture + networks

Share investment options

Job summary

Intact Insurance is seeking a Machine Learning Engineer to design and run production-ready ML systems. You’ll collaborate with Data Scientists and engineering teams to shape the ML roadmap, develop scalable solutions, and drive innovation while growing your career.

You’ll build ML pipelines, deploy models in batch and real-time contexts, implement monitoring, and ensure high-quality, reliable software through CI/CD and documentation.

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, including monitoring, drift detection, and lifecycle operations.
• Exposure to CI/CD, containerisation, and API integration, with the ability to build scalable, production-ready ML systems.
• Comfortable working technically while communicating effectively with Data Scientists, stakeholders, and cross-functional teams.

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

ML platforms

Python

PySpark

SQL

ML pipelines

CI/CD

Containerisation

API integration

Stakeholder communication

Tools

Databricks

MLflow

Delta Lake

Job description

Intact Insurance is seeking a Machine Learning Engineer to design and run production-ready ML systems. You’ll collaborate with Data Scientists and engineering teams to shape the ML roadmap, develop scalable solutions, and drive innovation while growing your career.

You’ll build ML pipelines, deploy models in batch and real-time contexts, implement monitoring, and ensure high-quality, reliable software through CI/CD and documentation.