Artificial Intelligence Engineer in Nottingham
Artificial Intelligence Engineer

Artificial Intelligence Engineer in Nottingham

Nottingham Full-Time 60000 - 80000 £ / year (est.) Home office possible
SBS

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 culture with opportunities for growth in a dynamic environment.
  • 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), 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: 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: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows.
  • 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: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging.
  • Engineering Qualities: Works within existing systems and has a production mindset. Clear communicator who 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 solutions power everything from digital banking and lending to payments and core banking systems.

Why 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 Nottingham employer: SBS

SBS is an exceptional employer that prioritises employee wellbeing and professional growth, offering a dynamic work culture where innovation thrives. With flexible remote options and a commitment to career development, employees can engage in meaningful projects that shape the future of finance while enjoying comprehensive benefits including health coverage and competitive pay. Join a collaborative team that values diversity and fosters a supportive environment for all.
SBS

Contact Detail:

SBS Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Artificial Intelligence Engineer in Nottingham

✨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 Nottingham

Machine Learning (ML)
Natural Language Processing (NLP)
Generative AI (GenAI / LLMs)
MLOps
API Development
Microservices Architecture
Data Engineering
Distributed Systems Design
Python Programming
Async Python
FastAPI
Prompt Engineering
Model-Agnostic Design
Agentic System Design
Error Handling and Observability

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 can bring value to our team!

Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Mention your experience with Python, API design, and any specific AI technologies you've worked with. We love seeing candidates who can demonstrate their hands-on experience in building scalable AI systems.

Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, clarity is key in communicating your fit for the role!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. 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, generative AI, and how you've built production applications. 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 clean, well-structured code you've written, and be ready to explain your design choices. They’ll appreciate a candidate who understands SOLID principles and can write testable components.

✨Understand the Business Context

Familiarise yourself with the financial services industry and how AI can enhance products in this space. Be ready to discuss how your technical solutions can deliver measurable impact for clients. This shows you’re not just a techie but also understand the bigger picture.

✨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 write a design document or explain your thought process during the interview.

Artificial Intelligence Engineer in Nottingham
SBS
Location: Nottingham

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