Remote Engineer:in (m/w/d)
Remote Engineer:in (m/w/d)

Remote Engineer:in (m/w/d)

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

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 competitive pay, health coverage, flexible work options, and career development.
  • Other info: Be part of a diverse team shaping the future of finance.
  • Why this job: Make a real impact with cutting-edge AI technology in a collaborative environment.
  • Qualifications: Strong software engineering skills and experience in 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)
  • 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.

    Remote Engineer:in (m/w/d) employer: SBS

    SBS is an exceptional employer that prioritises the well-being and growth of its employees, offering a supportive work culture enriched with flexible work options and comprehensive benefits including health coverage and career development opportunities. As a global fintech leader, working remotely from the UK or EU allows you to collaborate with a diverse team while contributing to innovative AI solutions that shape the future of finance.
    SBS

    Contact Detail:

    SBS Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Remote Engineer:in (m/w/d)

    ✨Tip Number 1

    Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

    ✨Tip Number 2

    Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

    ✨Tip Number 3

    Prepare for interviews by practising common 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, we love seeing candidates who are proactive!

    We think you need these skills to ace Remote Engineer:in (m/w/d)

    AI/ML Expertise
    Machine Learning (ML)
    Natural Language Processing (NLP)
    Generative AI (GenAI / LLMs)
    MLOps
    API Design
    Python Engineering
    Async Python
    Data Modeling
    Model Deployment
    Production Mindset
    Prompt Engineering
    Distributed Systems Thinking
    Clear Communication

    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, 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 detailing your technical expertise! Mention your experience with model deployment, API design, and any frameworks you've used. We love seeing candidates who can clearly articulate their engineering prowess.

    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 without fluff.

    Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us 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 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, well-documented code you've written, and be ready to explain your thought process behind it.

    ✨Understand the Company’s Needs

    Do your homework on SBS and their products. Understand how AI can enhance their offerings in the financial services sector. This will help you tailor your answers to show how your skills align with their goals and demonstrate your genuine interest in the company.

    ✨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 problem-solving and decision-making in a collaborative environment.

    Remote Engineer:in (m/w/d)
    SBS

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