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

Nominate & Attend

Systems Test Engineer

DataCareers
Crawley
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required)

Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience...

Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience......

Automation Engineer

Machine Learning Engineer (W/M/D)

Machine Learning Engineer Language

Systems Test Engineer

9 Month Contract

Location: Home / Crawley (on site 3 days a week)

Rate: £700 - £750 per day (Inside IR35)


Skills: Test, Integration, Verification, Validation and Software Qualification, SC Clearance


We are looking to recruit an SC Cleared Systems Test Engineer for a leading IT Consultancy. The Systems Test Engineer with a strong focus on automation to ensure the robustness of cutting-edge solutions. This role requires a talented professional who thrives on problem-solving and technical excellence, with experience in integration, verification, and test automation. Familiarity with AI/ML testing will be advantageous as we continue to innovate in AI-driven technology.


This is a hybrid role and you will be required to work onsite in Crawley 3 days a week.


Due to the nature of the work valid SC Clearance is required.


Key Responsibilities:


  • Test Development & Execution: Perform module, program, and unit testing on individual software components, defining a step-by-step integration tree aligned with the release plan.
  • Automation & Maintenance: Develop, deploy, and maintain software for test management, design, execution, and results validation to drive efficient testing processes.
  • IVVQ Management: Plan, estimate, monitor, and control Integration, Verification, Validation, and Qualification (IVVQ) activities to ensure quality and performance standards.
  • Staging Environment Support: Provide investigative support for staging or system integration labs using software and hardware tools.
  • Customer Demonstrations & Satisfaction: Prepare test campaigns, lead customer demonstrations, and ensure test procedures meet both technical and customer requirements.


Required Skills & Expertise:


  • Technical Test Expertise: Skilled in component testing, integration, and verification, with proficiency in automation and test management tools.
  • Programming & Data Handling: Familiar with scripting or programming languages, troubleshooting, and data-driven testing approaches.
  • Infrastructure & DevOps Knowledge: Strong experience working with Linux/Windows infrastructure, IVVQ tools, and cloud services, with awareness of DevOps and Agile principles.
  • Analytical & Problem-Solving Abilities: Proven capacity for logical analysis, with strong troubleshooting skills and the ability to innovate within secure, regulated environments.
  • Collaboration & Leadership: Recognized as a team player with excellent leadership skills, willing to mentor and guide junior team members.


Desirable Experience:


  • AI/ML Testing: Exposure to testing AI and machine learning technologies.
  • Software Project Integration: Background in software project development, integration, and validation within a high-assurance setting.


Qualifications:


  • Essential: 1-5 years of experience in Testing, Integration, Verification, Validation, or Software Qualification.
  • Desirable: Experience in AI-driven projects and familiarity with the latest trends in data technology, including IoT, containerization, and big data.
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.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

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.