ML Engineer (Hybrid) — Production‑Ready AI

Hiscox; York and North Yorkshire; Hybride; GBP 70 000 - 90 000; Plein temps

Résumé du poste

Hiscox seeks a talented Machine Learning Engineer to join its UK Data Science team. You will shape the full ML lifecycle, from research to scalable production, collaborating with data scientists and engineers across the business.

The role covers greenfield projects from fraud detection to generative AI, with emphasis on CI/CD, cloud-native deployments, and governance in a regulated insurance environment.

Qualifications

• Proven track record in data science or ML engineering roles within a business setting.
• Strong python programming skills and wider software engineering best practice.
• Strong communication skills including translation of technical concepts for non‑technical stakeholders.
• Good understanding of core data science principles.
• Experience with production‑level cloud‑native deployment of machine learning services, using containerisation, Kubernetes or equivalent. We work across an Azure and Databricks estate, therefore experience with these platforms would be particularly beneficial
• Utilisation of an industry‑standard software stack for data and software, including VCS (git), CI/CD (Azure DevOps desirable) and Project Management (JIRA)
• Experience deploying data science models to solve real‑world business problems in production, ideally within a regulated industry such as finance or insurance
• Experience utilising LLMs, generative or agentic AI in a commercial setting is beneficial

Responsabilités

• Contribute to the design and evolution of our Data Science platform, helping define best practices, tooling and the ML Engineering function as the team and project portfolio grow.
• Have a strong voice in the automation of the end‑to‑end data science lifecycle, leveraging CI/CD and infrastructure as code to support scalable, enterprise‑grade production workflows.
• Work closely as a team, collaborating on all aspects of the data science and deployment lifecycle across traditional ML and generative solutions.
• Work collaboratively with dependency teams including data engineers, software engineers and business stakeholders.
• Write high quality python code following industry best practice for model development, deployment and maintainability.
• Contribute technically to the data science modelling and project workflows, helping select modelling approaches, participating in architecture discussions, and deployment strategies.

Connaissances

Data science

ML engineering

Python

CI/CD

Azure Databricks

Kubernetes

Git

Outils

Azure DevOps

Docker

Kubernetes

Description du poste

Hiscox seeks a talented Machine Learning Engineer to join its UK Data Science team. You will shape the full ML lifecycle, from research to scalable production, collaborating with data scientists and engineers across the business.

The role covers greenfield projects from fraud detection to generative AI, with emphasis on CI/CD, cloud-native deployments, and governance in a regulated insurance environment.