Senior Hardware Engineer

BAE Systems - UK
Rochester
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Electronics Engineer

Senior Electronics Engineer

Machine Learning Infrastructure Engineer [UAE Based]

Software Engineer

Senior Pricing Analyst

Senior Reporting Analyst

Job title:Senior Hardware Engineer

Location:Rochester

Salary:Circa £48,000 depending on skills and experience

What you’ll be doing:

  • Executing complex hardware design tasks in accordance with the hardware development plan, whilst meeting agreed timescales and allocated budgets
  • Conducting hardware requirements capture, preliminary design, detailed design including a range of analysis tasks
  • Coaching & developing the skills of junior team members
  • Delivering design artefacts in accordance with company and industry standards
  • Working with other disciplines within an integrated team
  • You’ll also have people manager responsibilities in this role

Your skills and experiences:

Essential:

  • Degree/HND in electronics engineering or an equivalent qualification
  • Proven knowledge and experience of digital &/or analogue electronics technologies
  • Experience of working through the engineering development lifecycle, from concept to product certification
  • Ability to demonstrate a good appreciation of cost and schedule constraints on designs, to meet programme needs
  • An inquisitive mind-set, articulate, with excellent written and verbal communication skills

Desirable:

  • Mentor Graphics Expedition Enterprise
  • Analogue simulations tools, such as Simetrix or Spice
  • System development tools, such as Enterprise Architect, Matlab, Simulink

Benefits:

You’ll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You’ll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts – you may also be eligible for an annual incentive.

The Hardware Team

As a Senior Hardware Engineer you will be working as part of a multidisciplinary team to formulate and optimise innovative hardware engineering solutions, for products such as Helmet Mounted & Head-Up Displays, Mission Computers, Flight Controls, Active Inceptors, and other associated safety-critical technology.

This role will provide you with the opportunity to work with innovating cutting-edge projects as a member of a very experienced diverse team, with the view to progressing your career in this industry.

Why BAE Systems?

This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.

Closing Date:27th February 2025

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.