Machine Learning Engineer

Hiscox

York, United Kingdom
Python apis (flask/fastapi)
Ci/cd pipelines for ml deployment
Docker and containerised deployments
You will play a key role in building and maintaining the infrastructure that supports the deployment of machine learning models across the London Market business unit

Job Summary

  • You will play a key role in building and maintaining the infrastructure that supports the deployment of machine learning models across the London Market business unit.
  • You’ll be joining an award-winning team, recognised for its pioneering collaboration with Google to deliver the market’s first AI-enhanced lead underwriting solution.
  • This is a hands-on engineering role focused on developing APIs, infrastructure, and deployment pipelines for machine learning models.

Matching Summary

You will play a key role in building and maintaining the infrastructure that supports the deployment of machine learning models across the London Market business unit.

Skills & Requirements

Must-have

  • Python APIs (Flask/FastAPI)
  • CI/CD pipelines for ML deployment
  • Docker and containerised deployments
  • Cloud platforms (GCP, AWS, Azure)
  • Infrastructure as Code (Terraform)
  • Machine learning model deployment

Nice-to-have

  • Finance or insurance experience
  • Agile methodologies
  • Object-oriented programming principles
  • Cloud networking

Key Requirements

  • Bachelor's/Master's degree or equivalent
  • Hands on experience deploying ML models
  • Solid experience as a Python developer
  • Experience with TDD
  • Experience with infrastructure as code tools
  • Hands on experience with cloud platforms
  • Familiarity with containerization using Docker

Work Rights

Not specified

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