Hiscox
Insurance
PrincipalMachineLearningEngineer
“Principal Machine Learning Engineer at Hiscox. Skills: Machine Learning Engineering, MLOps, Production ML systems. Act as technical lead for Machine Learning Engineering. Technically lead complex ML systems”
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Engineering, or related quantitative field (or equivalent experience), Extensive experience as senior or principal Machine Learning Engineer delivering production ML systems at scale, Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure, Exceptional Python skills in machine learning engineering context, Software engineering fundamentals (OOP, testing, design patterns), Deep experience building, deploying, and operating production ML systems, Hands-on experience with major cloud platform (AWS, GCP, or Azure), Containerised deployments, Expert knowledge of MLOps and CI/CD, Working knowledge of SQL, Experience using AI-assisted coding tools in production engineering context
Nice to Have
Insurance or financial services experience
What You'll Do.
Act as technical lead for Machine Learning Engineering
Technically lead complex ML systems
Define and evolve production ML patterns
Lead deep technical decision-making
Contribute hands-on to critical systems
Define best practices for AI-assisted coding tools
Lead by example applying AI-assisted development techniques
Partner with teams to design
Shape platform standards and interfaces
Lead technical spikes and proof-of-concepts
Influence developer tooling choices
Ensure platform enables fast
Ensure ML systems meet standards
Define and implement frameworks for monitoring
Champion operational excellence across ML services
How You'll Work.
Team & Collaboration
Cross-functional environments; Data Science teams; Engineering teams; Platform teams; Value streams
Process & Methodology
CI/CD, Agile
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