Principal Engineer (Data & AI Capabilities) in London

Principal Engineer (Data & AI Capabilities) in London

London Full-Time 81000 - 99000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead the design and delivery of innovative AI and data solutions that impact millions.
  • Company: Join Compare the Market, a purpose-driven tech company transforming financial decision-making.
  • Benefits: Inclusive culture, career growth opportunities, and a chance to make a real difference.
  • Other info: Be part of a diverse team that values bold thinking and impactful results.
  • Why this job: Shape the future of AI in a fast-paced environment while mentoring aspiring engineers.
  • Qualifications: Experience in large-scale data and AI solutions, strong communication, and mentoring skills.

The predicted salary is between 81000 - 99000 £ per year.

So are we. Join Compare the Market and help to make financial decision making a breeze for millions.

At Compare the Market, we're a purpose-driven business powered by tech and AI.

We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace.

Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.

We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment.

If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in.

What you'll be doing

  • Set the technical direction for Data & AI, acting as a trusted technical leader who shapes how AI and data solutions are designed and built across the business.
  • Lead the design and delivery of complex, large-scale AI and data solutions that can be adopted and scaled across the organisation.
  • Establish best practices, standards and reusable frameworks that help teams build more consistently and efficiently.
  • Improve how we monitor, evaluate and support AI systems in production, so they remain reliable and continue to deliver value.
  • Partner with senior stakeholders across Data, Product and Engineering to turn business goals into impactful technical solutions.
  • Mentor engineers across the Data & AI community and help ensure the right governance, standards and controls are in place as our AI capability grows.

What we’re looking for

  • Significant experience designing, delivering and supporting large-scale data and AI solutions in production, within a complex organisation.
  • Proven experience setting technical direction, establishing engineering standards and frameworks, and influencing decisions from engineering through to leadership level.
  • Strong software engineering fundamentals, with experience designing, building and operating large-scale, data-intensive systems in production.
  • Experience of, understanding of, or a strong interest in, applying these skills to AI/ML engineering.
  • A strong understanding of how to balance technical excellence with business outcomes.
  • The ability to communicate complex ideas clearly and build strong relationships with both technical and non-technical stakeholders.
  • A passion for mentoring others and helping teams and individuals develop.
  • An interest in shaping how organisations adopt and scale AI in a practical, responsible and impactful way.

Why Compare the Market?

We're a business built for pace and performance.

Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.

We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.

Women in Data advertise roles on behalf of our partners, alliances, and members.

We are proud supporters of Women in Data.

Connect, engage and belong to the largest free female data community in the UK - visit: womenindata. ai to join our community.

Stay connected! Follow us on Linked In for updates on career opportunities and more.

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Principal Engineer (Data & AI Capabilities) in London employer: Women in Data®

At Kingfisher, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. As a Portfolio Strategy & Delivery Lead, you will have access to extensive growth opportunities within our technology sector, alongside competitive benefits that support your well-being. Our commitment to continuous improvement ensures that you will play a vital role in shaping the future of our business while working in a supportive environment that values your contributions.

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Contact Details:

Women in Data® Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Engineer (Data & AI Capabilities) 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 Women in Data®!

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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 Women in Data®.

✨Apply Directly through Our Website

When you find a suitable opening like Principal Engineer (Data & AI Capabilities) at Women in Data®, 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 Principal Engineer (Data & AI Capabilities) in London

Technical Leadership
AI and Data Solutions Design
Large-Scale System Delivery
Best Practices Establishment
Monitoring and Evaluation of AI Systems
Stakeholder Engagement
Mentoring and Coaching

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 Women in Data®, 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 Women in Data®. 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 Women in Data®

✨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 Women in Data®!

✨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.