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
8 months ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer - Autonomy

Senior Principal Data Scientist - Remote

Senior Principal Data Scientist - Remote

Senior Principal Data Scientist - Remote

Senior Data Engineer

Senior Data Engineer — Azure Databricks Lakehouse Architect

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

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.