Hiscox

Insurance

PrincipalMachineLearningEngineer

£145–210k ~AI est. London, United Kingdom; York, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Insurance
Problems you'll solve

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

Full Job Description

_**Job Type:**_ Permanent **Build a brilliant future with Hiscox** **Principal Machine Learning Engineer** **Location:** London/York **Why Hiscox London Market** Hiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities. We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market‑first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation. You’ll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high‑impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance. **Role Purpose** As a **Principal Machine Learning Engineer (MLE)** , you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps. You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands‑on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems. A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolv

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