At a Glance
- Tasks: Design and deploy AI-driven solutions that enhance financial products and services.
- Company: Join a global fintech leader transforming the finance industry with innovative technology.
- Benefits: Enjoy health coverage, flexible work options, career development, and competitive pay.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact in finance by leveraging cutting-edge AI technologies.
- Qualifications: Strong software engineering skills and experience in AI/ML application development.
The predicted salary is between 60000 - 80000 £ per year.
SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings.
The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment.
Location: UK or EU
Hybrid/Remote: Remote (Occasional travel required)
Responsibilities:
- AI Solution Development
- Design, build, and deploy AI/ML models and intelligent applications across SBS platforms
- Develop solutions leveraging:
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Generative AI (GenAI / LLMs)
- Translate business requirements into technical AI solutions that deliver measurable impact
- Model Deployment & MLOps
- Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring
- Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment
- Maintain and optimize model performance, accuracy, and efficiency over time
- Product Integration
- Integrate AI capabilities into core banking, payments, and digital platforms
- Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions
- Support API development and microservices architecture for AI-driven features
- Data Engineering Collaboration
- Partner with data engineers to ensure data quality, availability, and pipeline integrity
- Work with structured and unstructured datasets across large-scale, distributed systems
- Innovation & Continuous Improvement
- Stay current with advancements in AI, GenAI, and emerging technologies
- Contribute to experimentation, prototyping, and innovation initiatives
- Identify opportunities to improve automation, efficiency, and decision-making through AI
Qualifications:
- Software Architecture & Design
- Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases.
- API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility.
- System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches.
- Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions.
- AI & LLM Application Skills
- LLM application development: Hands-on experience building production applications powered by LLMs.
- Model-agnostic design: The candidate must design against standardized API interfaces, not couple to any single provider.
- Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next.
- Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks.
- Python Engineering
- Production Python: Strong async Python with FastAPI or equivalent framework.
- Engineering Qualities
- Works within existing systems: The candidate joins a substantial existing codebase and architecture.
- Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns.
- Clear communicator: Can explain technical trade-offs to non-technical stakeholders.
Company Overview
At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems.
As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance.
Why SBS?
At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks.
Equal Opportunity Employer
We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.
Creative Engineer employer: SBS
SBS is an exceptional employer that prioritises employee wellbeing and professional growth, offering a dynamic work culture where innovation thrives. With flexible work options, comprehensive health coverage, and a commitment to career development, employees are empowered to excel in their roles while contributing to cutting-edge AI solutions in the financial services sector. Join a collaborative team that values diversity and fosters a supportive environment, making SBS a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Creative Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving ML and NLP. This gives you a chance to demonstrate your expertise and creativity, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI engineering. Mock interviews with friends or mentors can help you feel more confident and ready to tackle any curveballs thrown your way.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at SBS.
We think you need these skills to ace Creative Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Creative Engineer role. Highlight your experience with AI/ML, software engineering, and any relevant projects that showcase your skills. We want to see how you fit into our team!
Showcase Your Technical Skills:Don’t hold back on detailing your technical expertise! Mention your experience with Python, API design, and any AI systems you've built. We love seeing candidates who can demonstrate their hands-on experience in a clear and concise way.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points where possible and avoid jargon unless it's necessary. We appreciate clarity and want to understand your qualifications without sifting through fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at SBS
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your experience with LLMs, model deployment, and how you've tackled real-world problems using AI. They’ll want to see that you can translate complex concepts into practical solutions.
✨Showcase Your Python Skills
Since this role requires strong Python engineering skills, be prepared to talk about your experience with async Python, FastAPI, and data validation. Bring examples of clean, testable code you've written and be ready to explain your thought process behind it.
✨Understand the Business Context
It’s crucial to connect your technical skills to the business needs. Research SBS and think about how your AI solutions can enhance their products. Be ready to discuss how you can integrate AI capabilities into their banking and payment systems.
✨Communicate Clearly
You’ll need to explain technical concepts to non-technical stakeholders, so practice articulating your ideas clearly. Prepare to discuss design documents and the trade-offs of different approaches in a way that everyone can understand. This will show you’re not just a techie but also a team player.