Machine Learning Engineer

** Job Type:
** Permanent
* * Build a brilliant future with Hiscox
**** About Hiscox
** Hiscox UK is a leading brand in the insurance market, recognised as setting the standards others try to emulate. We consistently deliver strong growth and exceptional returns, recruiting only the very best and empowering them to deliver. We are known for insuring the homes of the rich and famous through to the most innovative technology companies. Our customers are diverse and unique and are only united by our ability to provide specialist insurance tailored to their needs.
** The Team
** The Hiscox UK Data Science team operates across the UK business unit, providing data-driven insights that inform strategic decision-making and operational improvements. We specialise in machine learning and generative AI solutions to address complex business challenges in collaboration with stakeholders across the business. We deliver robust, scalable models and analytical solutions that drive innovation and support evidence-based decisions.
** The Role
** We’re looking for a talented and pragmatic Machine Learning Engineer to join our growing data science team. We’re working on a wide range of greenfield projects, from fraud detection to generative AI, giving you the chance to help shape solutions from the ground up. You’ll be shaping the full machine learning lifecycle, collaborating closely with data scientists and engineers in a cross-functional environment to define how we solve problems with data science.

This role is key to ensuring that models developed in research are successfully transitioned into scalable, production-ready solutions.

This role is suited to individuals who are passionate about data and committed to software engineering best practices, with a drive to innovate and advance organisational capabilities.
** Key Responsibilities
*** 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.
** Candidate Profile
***
* Skills and experience:

*** 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 Dev Ops 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
** Recruitment Process**
* ** Initial Screening Call
- ** An initial conversation with a member of our Talent Acquisition team to discuss your skills and experience and interest in the role.
* ** Informal Call with the Hiring Manager
- ** An opportunity to talk through your CV and learn more about the position.
* ** Technical Take-home Task
- ** A…