Machine Learning Engineer

Hiscox; York and North Yorkshire; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

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

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.

Skills

Data science

ML engineering

Python

CI/CD

Azure Databricks

Kubernetes

Git

Tools

Azure DevOps

Docker

Kubernetes

Job description

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 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

Why Join Us?

A career at Hiscox is more than just a job—it’s an opportunity to grow, thrive, and be rewarded for your contribution. Beyond a competitive salary, we offer a comprehensive benefits package designed to support your financial, physical, and personal wellbeing. From retirement plans and healthcare coverage to flexible working options and professional development support, we aim to create an environment where you can succeed both inside and outside of work.

We also know that none of us ever stops learning. Whether you’re just starting out or have decades of experience, we’ll give you the tools and opportunities to nurture your talent and fulfil your potential. Our learning and development programmes include financial support for professional qualifications, world‑class technical training, and a wide range of courses focused on personal growth, career progression, and leadership skills.

Diversity and Hybrid working

At Hiscox we care about our people. We hire the best people for the job and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success. We operate a hybrid working model, set by the team rather than the business, to enable you to manage your own personal work‑life balance. We see it as the best of both worlds; structure and sociability on one hand, and independence and flexibility on the other.

Work with amazing people and be part of a unique culture.