Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Engineer, Artificial Intelligence

NatWest Group
City of London
1 day ago
Create job alert

Join us as a Software Engineer working in Artificial Intelligence

  • This is an opportunity for a technically minded individual to join us as a Software Engineer
  • You’ll be designing, producing, testing and implementing working software, working across the lifecycle of the system
  • Demonstrates a strong interest in AI experimentation and actively seeks opportunities to drive forward AI-led innovation and transformation across business functions
  • Hone your existing software engineering skills and advance your career in this critical role
What you'll do

Working in a permanent feature team, you’ll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You’ll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives.

You’ll also be:

  • Applying Agile methods to the development of software on the backlog
  • Producing resilient and long-lived software and acting flexibly to cope with future needs
  • Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping
  • Designing and developing software with a focus on the automation of build, test and deployment activities, using executable patterns
The skills you'll need

We’re looking for someone with strong full stack experience in software design and implementation, including being able to exploit programming languages to solve complex problems. You’ll also need to be capable of complex requirements analysis capture and validation against and with business and systems requirements.

Additionally, you’ll demonstrate:

  • Experience of leading the implementation of programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
  • Sound collaboration skills with the ability to work with business teams to produce pragmatic solutions that work for the business
  • Experience of information security policies and practices within the financial sector
  • Strong stakeholder management skills and communication skills with the ability to communicate complex technical concepts in a simple way


#J-18808-Ljbffr

Related Jobs

View all jobs

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

Senior Software Engineer, Machine Learning

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Research Engineer: Graph Machine Learning

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.