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

Nominate & Attend

Senior Design Authority

Copello
Harlow
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer Apprentice

data technical specialist submarines

Data Engineer

Data Analyst

Senior Data Engineer - (Genetics) Maternity Cover - 12 months FTC

Senior Systems and Hardware Design Authority

Location-Harlow

Contract-Permanent


Summaryof Role:

This is an exciting opportunity for a Senior Systems and Hardware Engineer to work within the Assured Position Navigation and Timing Systems team (APNT), producing Digital GPS Anti-Jam Systems and Alternative Navigation Solutions primarily for the military market.

The role will provide Design Authority (DA) support across a range of APNT products, providing Systems and Hardware Engineering expertise/direction across the product lifecycle, from requirements capture, Analysis, Design through to testing, qualification, certification and in-service support.

Main Duties:

This role will initially provide support to the Lead Design Authority for our Flagship Anti-Jam products with a view to becoming the Lead Design Authority once enough training and experience has been gained.

Main activities include DA support to: Customer Programme Management Reviews (including attendance to PMR held in Georgia every 6 months, April and October), monthly customer IPT meetings, weekly internal IPT obsolesce, risk and FRACAS reviews.

Primary responsibilities include production support and obsolescence maintenance, management of project requirements, generation of technical documentation, systems analysis, hardware design, participation in technical design reviews and technical direction/custodianship of the products.

Candidate Requirements:

Essential

  • Experience across the systems engineering lifecycle from requirements through to project completion.
  • Experience with generation of technical documentation at all levels from requirements capture through to Declaration of Design & Performance (DDP).
  • An understanding of the rules of change management and configuration management in a highly regulated industry where safety and performance are paramount
  • Understanding of policies, practises and procedures, and the ability to communicate these to their team.
  • Sense of ownership, resilience and decisiveness to provide technical direction/guidance in the development of electronic solutions, and have the confidence and experience to assess and sign off on solutions

Desirable

  • Experience with the IBM Rational DOORS toolset (or similar)
  • Experience with RF (including Antennas) and Digital Hardware design and test
  • Algorithm development incorporating Modelling experience in MATLAB/Simulink
  • Experience with SysMl or UML in a Systems Engineering environment
  • Experience with configuration management system


JBRP1_UKTJ

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.