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
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Performance Kernel Engineer

Machine Learning Engineer - Autonomy

Senior Principal Data Scientist

Senior Principal Data Scientist

Senior Principal Data Scientist - Remote

Senior Principal Data Scientist - Remote

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.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

🍪 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.