At a Glance
- Tasks: Lead AI/ML initiatives and develop cutting-edge solutions in fintech.
- Company: Join FIS, a leading fintech innovator with a diverse team culture.
- Benefits: Competitive salary, professional development, and community contribution opportunities.
- Other info: Dynamic environment fostering innovation and collaboration.
- Why this job: Shape the future of AI in a high-impact role with massive datasets.
- Qualifications: 8+ years in AI/ML engineering and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS?
About the role:
Are you ready to shape the future of AI within one of the world's most influential fintech companies? At FIS, we're hiring an experienced Engineer Principal, Artificial Intelligence / Machine Learning to define, lead, and execute our enterprise-wide AI/ML vision. In this strategic and highly visible role, you will architect and drive cutting‑edge AI systems that power transformation across our global commercial organization. You'll lead the design and development of advanced machine learning algorithms, intelligent agents, and enterprise‑scale AI platforms - solving complex challenges unique to fintech.
You will work closely with cross‑functional teams - including product managers, software engineers, data scientists, and business leaders - to build and embed AI solutions into FIS products, tools, and processes. You'll also shape how the entire commercial organization interacts with AI through modern architectures and next‑generation agentic systems. This is a rare opportunity to work at enterprise scale with massive datasets, unmatched leadership access, and the freedom to innovate at pace delivering impactful AI products within one of the world's leading fintechs.
What you will be doing:
- Providing strategic leadership and owning the AI/ML roadmap for the commercial organization.
- Leading and growing a high‑calibre team of Data Scientists and AI/ML engineers, fostering a culture of innovation, collaboration, and continuous learning.
- Designing, building, and deploying AI Agents at scale - from automated lead‑generation agents to intelligent pricing and decisioning systems.
- Developing advanced ML models and agentic systems to address complex challenges across fintech, including predictive analytics, optimization, personalization, and intelligent automation.
- Owning the strategy and architecture for how the entire commercial organization interacts with AI, including model governance, tooling, infrastructure, and integration frameworks.
- Collaborating with stakeholders across Sales, Product, Engineering, and Revenue Operations to embed AI capabilities into workflows, products, and commercial strategies.
- Driving innovation in Generative AI, Agentic AI, deep learning, and large‑scale ML deployment.
- Championing best practices in MLOps, cloud‑native development (Azure preferred), and scalable production deployment.
- Presenting AI program outcomes, strategic recommendations, and technical guidance to senior leadership and executive audiences.
What you will need:
- Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related field (required).
- Master's or PhD in AI/ML, Computer Science, or related discipline (preferred).
- 8+ years of experience in AI/ML engineering, applied machine learning, or advanced analytics.
- Demonstrated experience leading technical AI teams and delivering enterprise‑scale AI/ML solutions.
- Deep expertise in machine learning algorithms, neural networks, large‑scale architectures, and modern AI frameworks.
- Hands‑on experience with Generative AI and Agentic AI (LLMs, foundation models, autonomous agents, large‑scale inference).
- Strong proficiency in Python and SQL; experience building production‑grade ML systems.
- Experience with Azure or another major cloud platform; familiarity with MLOps pipelines and deployment automation.
- Excellent communication skills and the ability to simplify complex technical concepts for business audiences.
- Ability to thrive in a fast‑paced, high‑impact environment with multiple stakeholders.
- Curiosity, proactive problem‑solving mindset, and passion for innovation.
What we offer you:
- Opportunities to innovate in fintech and shape the future of enterprise AI.
- Inclusive and diverse team atmosphere.
- Professional and personal development.
- Resources to contribute to your community.
- Competitive salary and benefits.
Engineer Principal, Artificial Intelligence / Machine Learning in London employer: FIS, Inc.
At FIS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Principal Engineer in AI/ML, you will have the unique opportunity to lead cutting-edge projects within a diverse team, while benefiting from professional growth opportunities and a commitment to community engagement. Join us in shaping the future of fintech with competitive compensation and a supportive environment that values your contributions.
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We think this is how you could land Engineer Principal, Artificial Intelligence / Machine Learning in London
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We think you need these skills to ace Engineer Principal, Artificial Intelligence / Machine Learning 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!
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Craft a Tailored Cover Letter:For a full-time role at FIS, Inc., 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 FIS, Inc.. 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 FIS, Inc.
✨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!
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✨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 FIS, Inc.!
✨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.
