MLOps Engineer (Machine Learning)

Location: York, United Kingdom

Company

hirify.global is an international insurance group listed on the London Stock Exchange, with more than 3,000 employees across 14 countries and 34 offices.

What you will do

• Build and maintain infrastructure for deploying machine learning models in real-time and batch environments.
• Develop Python APIs using Flask and FastAPI to serve machine learning models.
• Design and maintain CI/CD pipelines, model registries, deployment frameworks, and ML lifecycle automation.
• Monitor and maintain cloud-based machine learning services for reliability and performance.
• Integrate ML services into user-facing applications in collaboration with data scientists, platform engineers, data engineers, and developers.
• Contribute to code quality, testing, data modelling, cloud networking, and the maturation of analytics practices.

Requirements

• 3–5 years of experience as a machine learning engineer.
• Bachelor’s or master’s degree in a quantitative field, or equivalent experience.
• Production experience deploying, monitoring, and maintaining machine learning models.
• Strong Python and software engineering skills, including Flask or FastAPI, object-oriented programming, unit testing, and TDD.
• Experience with infrastructure as code, such as Terraform, cloud platforms including GCP, AWS, or Azure, Docker, deployment orchestration, CI/CD, and Git workflows.
• Understanding of data science principles, API monitoring and logging, Agile methodologies, and the challenges of moving research code into production.

Nice to have

• Experience in financial services or insurance.

Culture & Benefits

• Work as part of the Enterprise Technology Data service vertical.
• Collaborate across data science, engineering, platform, and development teams.
• Contribute to an Agile environment with iterative development cycles.
• Take ownership of production machine learning deployment and operational excellence.