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Machine Learning Engineer
Location: York | Hybrid
Hiscox is looking for an experienced Machine Learning Engineer to join our newly formed ML Engineering team within Enterprise Technology.
This is a hands-on opportunity to help shape how machine-learning solutions are deployed and operated across an international specialist insurer. You will bridge the gap between Data Science and production—turning models into secure, scalable, and reliable services used by the wider business.
Working closely with Data Scientists, Platform Engineers, and Developers, you will develop Python APIs, cloud infrastructure, and automated deployment pipelines across Azure and GCP.
What you’ll be doing
- Build and maintain production infrastructure for real-time and batch ML models.
- Develop clean, reusable Python services and APIs using FastAPI or Flask.
- Create CI/CD pipelines to automate model testing and deployment.
- Work with Platform Engineers to deliver scalable cloud infrastructure using infrastructure as code.
- Containerise services and support reliable cloud deployments.
- Monitor ML services and APIs for performance, reliability, and operational issues.
- Improve model registry, versioning, monitoring, upgrades, and retirement processes.
- Help automate the ML lifecycle, including dataset creation, training, evaluation, deployment, and monitoring.
- Review code, write unit tests, and promote strong software-engineering standards.
- Collaborate across Data Science, Data Engineering, Platform Engineering, and application teams.
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What we’re looking for
- Commercial experience deploying, monitoring, and maintaining ML models in production.
- Strong Python software-engineering skills, including OOP and unit testing.
- Experience building APIs using FastAPI, Flask, or a comparable Python framework.
- Hands-on experience with Azure, GCP, or AWS.
- Experience with CI/CD, Git, Docker, and infrastructure as code such as Terraform.
- Understanding of the ML lifecycle and the challenges of converting research code into maintainable production services.
- Knowledge of monitoring and logging for APIs and ML services.
- Strong problem-solving skills and the ability to take ownership of technical work.
- A collaborative approach and experience working within Agile teams.
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Experience within insurance or financial services, test-driven development, cloud networking, model registries, or deployment orchestration would be beneficial. A degree in a quantitative subject—or equivalent practical experience—is welcomed.
Why Hiscox?
Hiscox is a diversified international insurance group with more than 3,000 colleagues across 14 countries. Our purpose is to give people and businesses the confidence to realise their ambitions.
You will join a newly formed team with the opportunity to influence engineering standards and help mature Hiscox’s enterprise machine-learning capability while working on services with genuine business impact.
Hiscox is committed to creating an inclusive workplace. We welcome applications from people with different backgrounds and experiences and can discuss reasonable adjustments throughout the recruitment process.
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