Software Engineer (Research & Development)

Newcastle upon Tyne
9 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer, Applied Artificial Intelligence (AI)

GenAI Software Engineer/Data Scientist

GenAI Software Engineer/Data Scientist

Lead Software Engineer - Agentic AI/Machine Learning

Data Scientist/ 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

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.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.