At a Glance
- Tasks: Join our team to develop innovative machine learning solutions and tackle real-world challenges.
- Company: Hiscox, a leading brand in the insurance market with a focus on innovation.
- Benefits: Competitive salary, flexible working, professional development, and comprehensive wellbeing support.
- Other info: Enjoy a hybrid work model and be part of a diverse, inclusive culture.
- Why this job: Shape cutting-edge projects from fraud detection to generative AI in a collaborative environment.
- Qualifications: Experience in ML engineering, strong Python skills, and a passion for data-driven solutions.
The predicted salary is between 60000 - 80000 £ per year.
Job Type: Permanent
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.
If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.
Machine Learning Engineer in London employer: Hiscox SA
Hiscox SA is an excellent employer, offering a dynamic hybrid work environment in London that fosters collaboration and innovation. With a strong commitment to employee growth, we provide comprehensive training and development opportunities, ensuring our team members thrive in their careers. Our inclusive culture not only values diversity but also encourages meaningful contributions, making it a rewarding place to work in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hiscox SA!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Engineer at Hiscox SA.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hiscox SA.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer at Hiscox SA, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hiscox SA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hiscox SA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hiscox SA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hiscox SA!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
