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

Apply Now

Software Engineer (Research & Development)

Newcastle upon Tyne
6 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Machine Learning

Software Engineer- Machine Learning - UK

Software Engineer- Machine Learning - UK

Software Engineer - Graph Data Science

Software Engineer- Machine Learning - UK

Software Engineer, Artificial Intelligence

Are you a talented Software Engineer who wants to work on cutting edge robotic vehicle projects? As a key member of a rapidly expanding Research & Development team, you will be solving complex technical challenges in a variety of projects.

The Research & Development function is a multi-disciplinary team within the wider engineering function. The team is dedicated to tracking the latest technology and engineering advancements to create novel solutions for customers. The work spans concept design, innovative product development, and delivering complete manufacturing and technical data packs. You will also provide hands-on support for prototypes, installation, testing, and commissioning of new products worldwide.

Role Overview

Reporting to the Head of R&D, you will play a key role in developing software for current and future products. You will be involved in gathering user requirements, defining system functionality, developing and testing software, and assisting with commissioning and testing activities.

Key Responsibilities

  • Design and develop efficient, well-designed, testable, and maintainable code.

  • Integrate software components into fully functional systems.

  • Stay up to date with software development trends to enhance product design.

  • Perform verification and validation designs.

  • Mentor and coach team members to improve their software expertise.

  • Contribute to selecting and specifying the electronic hardware onto which the software will be installed.

  • Manage workloads effectively to meet strict deadlines.

    Required Qualifications & Experience:

  • A degree in Software Engineering, Computer Science, Physics, or Mathematics (2:1 or above) or an equivalent qualification and experience.

  • Industry experience ideally in Defence, Aerospace, Automotive, or Off-Highway sectors.

  • Proficiency with Linux and real-time software development in C/C++, Java, or Python.

  • Experience in robotics, machine control systems, and automation.

  • Familiarity with ROS (Robotic Operating System), Machine Learning, and OpenCV is advantageous.

  • Experience with software testing, including HiL, is desirable.

  • Understanding of the full software development lifecycle and configuration management.

  • Experience working in multi-disciplinary engineering teams.

    Additional Information:

  • Due to security requirements, all applicants must be able to achieve UK Security Clearance, so you must hod, and have held a British Passport for the past 10 years.

  • This role operates on a hybrid basis, so ideally looking to spend at least 3 days in office each week.

  • The role may require work outside normal business hours and in varying field conditions when on customer sites.

    If you are ready to take on exciting challenges and contribute to cutting-edge innovations, apply today and become a part of this pioneering Research & Development team

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.