Production ML Engineer — MLOps & Data Pipelines

PageUp People Limited; Redditch; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Employee discounts

Wellbeing initiatives

Job summary

Halfords is seeking a Machine Learning Engineer to turn ML models into production-grade solutions across the business. You’ll work at the intersection of software engineering, MLOps and data science, building frameworks, pipelines and services for deployment, monitoring and scaling of models from experimentation to live environments.

You’ll partner with data scientists, design CI/CD pipelines, and implement APIs and microservices to embed ML into customer journeys and internal systems.

Qualifications

• Proven experience deploying machine learning solutions into production environments and supporting them throughout their lifecycle.
• Strong understanding of version control practices, including Git, branching strategies, and release management.
• Strong software engineering skills in Python, with a solid understanding of engineering best practices, testing, code quality, and maintainability.
• Experience building CI/CD pipelines, MLOps frameworks, and automated machine learning deployment processes.
• Hands-on experience with Azure Databricks or similar machine learning platforms (ie MLFlow, KubeFlow, SageMaker etc)
• Experience building APIs, microservices, and cloud-based solutions that integrate machine learning capabilities into wider platforms and applications.
• Excellent collaboration and technical communication skills, with the ability to work effectively alongside Data Scientists, Architects, Engineers, and Business Analysts / Project Managers

Responsibilities

• Partner with Data Scientists to transition models from experimentation into scalable, production-ready applications and services.
• Design, build, and maintain MLOps frameworks, deployment pipelines, and automated model lifecycle processes.
• Develop and support CI/CD pipelines, version control frameworks, and automated testing processes for machine learning solutions.
• Build APIs, services, and integration patterns that enable machine learning models to be embedded into business systems and customer-facing applications.
• Implement model monitoring, performance tracking, drift detection, and automated retraining capabilities to ensure ongoing reliability and business value.
• Work with cloud-native technologies including Azure Databricks, MLflow, and related platforms to support enterprise-scale machine learning workloads.
• Collaborate with Data Engineers, Architects, and Developers to deliver secure, scalable, and maintainable machine learning solutions

Skills

Python

Git

CI/CD

MLOps

API development

Microservices

Collaboration

Tools

Azure Databricks

MLflow

Kubeflow

SageMaker

Job description

Halfords is seeking a Machine Learning Engineer to turn ML models into production-grade solutions across the business. You’ll work at the intersection of software engineering, MLOps and data science, building frameworks, pipelines and services for deployment, monitoring and scaling of models from experimentation to live environments.

You’ll partner with data scientists, design CI/CD pipelines, and implement APIs and microservices to embed ML into customer journeys and internal systems.