Lead Test Engineer (Embedded Software)

Winchester
10 months 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

Applied AIML Lead- Python & Data Science Engineering

Lead Data Scientist

Senior Computer Vision Engineer - up to £70,000 - ID44602

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.

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.