National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Software Engineer (Research & Development)

Newcastle upon Tyne
3 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineering Manager - Machine Learning- Systematic Quant Fund

Software Engineering Manager – Machine Learning

Lead Software Engineer

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
National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.