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- Tasks: Lead AI/ML projects and develop cutting-edge solutions in fintech.
- Company: Join FIS, a leading fintech company driving innovation.
- Benefits: Competitive salary, inclusive culture, and professional development opportunities.
- Other info: Dynamic environment with opportunities for community contribution.
- Why this job: Shape the future of AI and make a real impact in fintech.
- Qualifications: 8+ years in AI/ML engineering and strong leadership skills required.
The predicted salary is between 80000 - 100000 ÂŁ 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.
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 practice 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: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer Principal, Artificial Intelligence / Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with AI/ML. Attend industry meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both techies and non-techies at FIS.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you on board!
We think you need these skills to ace Engineer Principal, Artificial Intelligence / Machine Learning in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Engineer Principal, AI/ML. Highlight your relevant experience and skills that align with the job description. We want to see how your background fits into our vision at FIS!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and fintech. Share specific examples of your past work that demonstrate your leadership in AI/ML projects. Let us know why you’re the perfect fit for our team!
Showcase Your Projects: If you've worked on any AI/ML projects, make sure to showcase them in your application. Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to our hiring team. Plus, you’ll get to explore more about what we do at FIS while you’re at it!
How to prepare for a job interview at NLP PEOPLE
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your experience with advanced algorithms, neural networks, and any hands-on projects you've worked on. This role is all about innovation, so show them you're not just familiar with the basics but also excited about what's next!
✨Showcase Your Leadership Skills
Since this position involves leading a team, be prepared to share examples of how you've successfully managed technical teams in the past. Talk about how you foster collaboration and innovation within your team. They want to see that you can inspire others and drive results in a fast-paced environment.
✨Prepare for Technical Questions
Expect some deep dives into technical topics during your interview. Brush up on your Python and SQL skills, and be ready to solve problems on the spot. You might even be asked to explain complex concepts in simple terms, so practice articulating your thoughts clearly and concisely.
✨Understand the Business Side
This role isn't just about tech; it's about how AI can transform fintech. Research FIS and its products, and think about how AI solutions can enhance their offerings. Be ready to discuss how you would align AI strategies with business goals and improve workflows across different teams.