Hybrid Production ML Engineer: MLOps & Azure Databricks

Halfords Group PLC; West Midlands; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

Employee discounts

Annual bonus scheme

Pension

Job summary

Halfords is seeking a Machine Learning Engineer within our Data & Analytics team in Redditch, West Midlands. You will turn machine learning models into production-grade solutions that deliver value across the business, bridging software engineering, MLOps and data science.

You’ll implement CI/CD pipelines, APIs, monitoring, and scale ML workloads on Azure Databricks and related platforms, collaborating with Data Scientists and Engineers.

Qualifications

• Proven experience deploying ML solutions into production environments.
• Strong Git version-control practices, branching strategies, and release management.
• Excellent Python software engineering skills with testing, code quality and maintainability.
• Experience building CI/CD pipelines, MLOps frameworks, and automated ML deployment processes.
• Experience building APIs, microservices and cloud-based solutions that integrate ML capabilities.

Responsibilities

• Transition models from experimentation into scalable, production-ready apps.
• Design and maintain MLOps frameworks, deployment pipelines, and model lifecycle processes.
• Develop CI/CD pipelines and automated testing for ML solutions.
• Build APIs and services to embed ML into business systems.
• Implement model monitoring, drift detection, and automated retraining.

Skills

Python

Git

Collaboration

Technical communication

Testing

Automation

Tools

Azure Databricks

MLflow

Kubeflow

SageMaker

Job description

Halfords is seeking a Machine Learning Engineer within our Data & Analytics team in Redditch, West Midlands. You will turn machine learning models into production-grade solutions that deliver value across the business, bridging software engineering, MLOps and data science.

You’ll implement CI/CD pipelines, APIs, monitoring, and scale ML workloads on Azure Databricks and related platforms, collaborating with Data Scientists and Engineers.