At a Glance
- Tasks: Design and deploy AI solutions that revolutionise financial services.
- Company: Join a global fintech leader transforming banking with innovative technology.
- Benefits: Enjoy competitive pay, health coverage, flexible work options, and career development.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact in finance while working with cutting-edge AI technologies.
- Qualifications: Strong software engineering skills and experience in AI/ML applications.
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.
- API design: Experience designing and maintaining RESTful API contracts.
- 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.
- 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.
- Safeguards for hallucinated tools, loops, partial completion, and unsafe actions.
- 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. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships.
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.
Equal Opportunity Employer: We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process.
Artificial Intelligence Engineer in Liverpool employer: SBS
Contact Detail:
SBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Liverpool
✨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, GitHub contributions, or any relevant work. This gives you a chance to demonstrate your expertise beyond just a CV and makes you stand out.
✨Tip Number 3
Prepare for interviews by practising common AI-related questions and coding challenges. Mock interviews with friends or using online platforms can help you feel more confident and ready to impress.
✨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 team at SBS.
We think you need these skills to ace Artificial Intelligence Engineer in Liverpool
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI 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 your technical prowess! Include specific examples of your work with Python, API design, and any AI models you've developed. We love seeing hands-on experience, so let us know what you've built!
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 — it shows you can communicate effectively!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows you’re keen on joining our team at SBS!
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 Coding Skills
Since this role requires strong Python skills, be prepared to demonstrate your coding abilities. Bring examples of your work that highlight clean architecture, async programming, and API design. You might even get a coding challenge, so practice writing testable and maintainable code.
✨Understand the Business Impact
It’s crucial to connect your technical skills to business outcomes. Think about how your AI solutions can enhance products or improve client offerings. Be ready to share specific examples of how your work has made a measurable impact in previous roles.
✨Communicate Clearly
You’ll need to explain technical concepts to non-technical stakeholders, so practice articulating your thoughts clearly. Prepare to discuss your design decisions and the trade-offs involved. Good communication can set you apart from other candidates!