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Software Engineer, AI

Job in Gogar, City of Edinburgh Area, Scotland, UK
Listing for: NatWest Group
Full Time position
Listed on 2026-07-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Gogar

Join us as a Software Engineer, AI

  • This is an opportunity for a driven Software Engineer, AI to take on an exciting new career challenge
  • Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions
  • It’s a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders
What you'll do

In your new role, you’ll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform.

You’ll also be:

  • Producing complex and critical software rapidly and of high quality which adds value to the business
  • Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
  • Collaborating to optimise our software engineering capability
  • Designing, producing, testing and implementing our working software solutions
  • Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations
The skills you'll need

To take on this role, you’ll need a background in software engineering, software design, and architecture, and an understanding of how your area of expertise supports our customers.

You’ll also need:

  • Experience of working with multiple programming languages including Python and Web Development, such as NodeJS
  • Expertise in cloud platforms such as AWS, along with Dev Ops and CI/CD
  • Experience of problem solving, building to requirements and testing for both production and fast innovative proof of concepts
  • Expertise in Data Science, Generative AI, ML and LLMs, having RAG and Agentic experience would be beneficial
  • Proficient in implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
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