At a Glance
- Tasks: Design and deploy AI-driven solutions that enhance financial services.
- Company: Join a global fintech leader transforming the banking industry.
- Benefits: Enjoy flexible work options, competitive pay, and career development opportunities.
- Other info: Work remotely with occasional travel; excellent growth potential.
- Why this job: Be at the forefront of AI innovation in a collaborative environment.
- Qualifications: Strong software engineering skills with a focus on AI/ML applications.
The predicted salary is between 60000 - 80000 £ per year.
Position Overview: 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), and 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: This is a sovereign AI system. The candidate must design against standardized API interfaces.
- 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.
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.
Training & Content Engineer employer: SBS
SBS is an exceptional employer that prioritises the well-being and growth of its employees, offering a dynamic work culture that fosters innovation and collaboration. With flexible work options, comprehensive health coverage, and robust career development opportunities, employees are empowered to thrive both professionally and personally. Join us in shaping the future of finance while enjoying the unique advantages of working in a global fintech environment that values diversity and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Training & Content 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/ML projects, especially those that align with what SBS is doing. This gives you a chance to demonstrate your expertise and passion beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI solutions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 the SBS team.
We think you need these skills to ace Training & Content Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Training & Content Engineer role. Highlight your experience with AI/ML, Python, 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 your technical prowess! Include specific examples of your work with AI models, API design, and software architecture. We love seeing hands-on experience, so let us know what you've built and how it made an impact.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point, making it easy for us to see your qualifications.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 tools like Pydantic. Bring examples of clean, testable code you've written and be ready to explain your thought process behind it.
✨Understand the Company’s Needs
Research SBS and understand their products and services. Think about how your skills can directly contribute to their goals, especially in integrating AI into banking and financial services. This will show that you’re not just looking for any job, but that you’re genuinely interested in what they do.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might need to communicate with non-technical stakeholders, so being able to articulate your ideas clearly is crucial. Prepare to discuss how you would approach design documents and technical trade-offs in a way that everyone can understand.