Lead Test Engineer (Embedded Software)

Winchester
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Machine Learning Engineer, AI

Applied AIML Lead- Python & Data Science Engineering

Applied AIML Lead- Python & Data Science Engineering

Senior DataOps Engineer - AWS

Senior DataOps Engineer - AWS

Senior DataOps Engineer - AWS

Lead Test Engineer (Embedded Software)

  • Hampshire based with 2-3 days remote working per week

  • £65,000 to £70,000 per year

  • Plus an excellent company benefits package

    The Opportunity:

    After a number of recent exciting tender wins, my client is on the lookout for a Lead Test Engineer to head up the development and improvement of their internal test strategies.

    The ideal candidate will come from a background in embedded software, with experience across system, regression, performance and stress testing.

    You’ll be working with a team developing cutting edge image processing products and be responsible for the overall system, regression, performance, stress and security testing operation.

    In this role, you will develop and improve test strategies with the support of the development engineers, with a focus of making the testing process more efficient to serve their overall needs.

    Skills and Experience:

  • 3+ years’ experience in testing embedded software

  • Familiarity with Jira and X-ray for test and defect management

  • Proficiency in Linux OS and Bash scripting.

  • Hands-on experience with scripting in Python

  • Able to read and understand C++ code

  • Any exposure to camera systems, computer vision or video encoders would be highly beneficial

    Key Responsibilities:

  • Lead the creation and enhancement of test strategies

  • Analyse requirements, design, code, and deploy test scripts and frameworks to improve efficiency

  • Conduct system, regression, performance, stress, field and security testing

  • Investigate and debug issues, delivering detailed quality reports

  • Act as the escalation point for R&D, addressing support queries, triaging issues and providing expert insights

    Please contact James here at ISR to talk more about this brand new opportunity working for a genuine leader in their market or for a general discussion about the Transport Mobility sector??

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.