Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior/Principal Hardware Engineer

Matchtech (Fulfiment)
Rochester
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Principal Data Engineer/Architect

Principal Data Engineer - Azure Databricks (Unity Catalog)

Principal Data Engineer - Azure Databricks (Unity Catalog) - Contract

Principal Data Engineer - Azure Databricks (Unity Catalog) - Contract

Job Description


Our client, a reputable organisation in the defence sector, is seeking a Senior/Principal Hardware Engineer for their business unit in Rochester. This contract role sits within Electronic Systems and will be crucial in driving forward key hardware engineering initiatives.


Key Responsibilities:
  • Designing and developing hardware systems, including both digital and analogue electronics technologies.
  • Overseeing the full engineering development lifecycle, from concept through to product certification.
  • Utilising various tools such as Mentor Graphics Expedition Enterprise, Simetrix or Spice, and Chronology for timing design.
  • Applying signal integrity principles and employing system development tools like Enterprise Architect, Matlab, and Simulink.
  • Managing requirements using tools like DOORS and ensuring compliance with safety-critical system standards.
  • Consulting on cost and schedule constraints to ensure program needs are met.

Job Requirements:
  • Experience with Mentor Graphics Expedition Enterprise.
  • Proficiency in analogue simulation tools, such as Simetrix or Spice.
  • Knowledge of timing design tools like Chronology.
  • Understanding of signal integrity tools and principles.
  • Hands-on experience with system development tools (e.g., Enterprise Architect, Matlab, Simulink).
  • Experience with requirements management tools, such as DOORS.
  • Demonstrated ability to work on safety-critical systems.

Skills:
  • Working knowledge of both digital and analogue electronics technologies.
  • Experience with the full engineering development lifecycle.
  • Ability to understand and work within cost and schedule constraints.
  • Strong engineering judgement across all phases of the engineering lifecycle.
  • Solid understanding of product design and work package control.
  • Proven expertise in digital and/or analogue electronics technologies.


If you are a proactive and experienced hardware engineer with a background in defence, we would love to hear from you. Apply now to contribute to our client's dynamic and innovative team in Rochester.


JBRP1_UKTJ

#J-18808-Ljbffr

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.