Hardware Engineer - All Levels

Leonardo UK Ltd
Basildon
1 month ago
Applications closed

Related Jobs

View all jobs

Head of Hardware

Algorithm Engineer

Machine Learning Engineer

Vision Systems Engineer

Software Engineer

Automation Engineer

Job Description:

Job Description

Leonardo is ranked among the world’s top ten players in Aerospace, Defence and Security, is a global solutions provider and is a trusted long-term partner of choice for governments, institutions and private customers, delivering cutting-edge and dual-use technologies.

Our Electronics workforce of more than 4,000 specialists is spread across five main UK sites (Bristol, Southampton, Luton, Basildon, Newcastle and Edinburgh).

We are currently hiring for Hardware Engineers of all levels of expertise.

What you’ll do as a Hardware Engineer:

  • Supporting throughout the full hardware lifecycle from requirements analysis; through design, and unit test; to integrating hardware with the target system; and lastly to acceptance test and delivery to customer.
  • Fully documenting and recording your work products; keeping them under configuration management, and providing plans and progress reports.
  • Designing high speed digital Printed Circuit Boards that utilise the latest FPGA, Microprocessor and high speed interconnect technologies.
  • Work within a multi-disciplined team of engineers to solve real integration problems on complex systems.
  • To be an experienced specialist in your field of interest and to be able to form ideas on your own and concept designs and product using best practice.
  • Willing to teach others and increase your own knowledge.

You really must have:

  • You will have either a HNC/HND or Undergraduate Degree (Electronic Engineering, Physics, or Systems based) or you may just have lots of skills and experience gained through your hard work.
  • Familiarity with circuit design (schematic capture) layout and simulation design tools.
  • Mixed signal knowledge using ADC/DAC, FPGA, SoC based design for high performance signal processing, communications and control.
  • Integrating in-house designs with COTS modules (power supplies, single board computers, RF interfaces).
  • Practical experience of debugging, testing and verifying new designs.
  • DFx knowledge specifically Design for EMC and EMI.
  • Analysing system level requirements documents and understanding their application to Hardware designs.
  • Design of high speed serial communication links and knowledge of associated protocols and architectures.
  • Hands on experience of Hardware, Firmware & Software Integration of Micro Processor Based designs onto hardware platforms is essential.
  • A methodical approach to the full hardware design lifecycle, working to a structured hardware process.
  • Debugging, testing and verification of new designs and supporting their commissioning and integration into the target system.
  • Ability to communicate effectively across different disciplines both verbally and in written form.

It would be good if you had some of the following:

  • Domain experience in low noise analogue electronics and or power supplies.
  • Experience of fast interfaces such as PCIe, Ethernet, and JESD.
  • Model driven engineering using Matlab and Simulink tools.
  • Experience in FPGAs, Micro-processors, Memory and other High speed digital technologies with a desire to grow your knowledge in these domains.

Life at Leonardo

With a company funded benefits package, a commitment to learning and development, and a flexible approach to working hours focused on the needs of both our employees and customers, a career with Leonardo has never offered as many opportunities or been more accessible to as many people.

  • Flexible Working:Flexible hours with hybrid working options. For part time opportunities, please talk to us.
  • Company funded flexible benefits:Access to private healthcare, dental schemes, Workplace ISA, Go Green Car Scheme, technology and lifestyle options (£500 annual allowance).
  • Holidays:25 days plus bank holidays, option to buy/sell leave and to accrue up to 12 additional flexi leave days per year.
  • Pension:Award winning pension scheme (up to 15% employer contribution).
  • Wellbeing:Employee Assistance Programme with access to free mental health support, financial wellbeing support and network groups to demonstrate our ongoing commitment to diversity & inclusion.
  • Lifestyle:Discounted Gym membership, Cycle to work scheme.
  • Training:Free access to more than 4000 online courses via Coursera and Linkedin Learning.
  • Referral Incentive:You can earn a reward for successfully referring a friend or family member.
  • Bonus:Scheme in place for all employees at management level and below.

For a full list of our company benefits please visit our websitehere.

Leonardo is a global high-tech company and one of the key players in Aerospace, Defence and Security. Headquartered in Italy, Leonardo has over 45,000 employees, of which 8,000 are based at 8 sites throughout the UK.

At Leonardo UK, we believe that a diverse and inclusive work environment unlocks our people’s full potential and drives innovation and creativity. We work hard to offer a welcoming, accessible and inclusive place to work for all of our people, creating a culture where everyone can thrive, feel safe and have a sense of belonging and connection.

Primary Location:GB - Luton - Cap. Green 300

Additional Locations:GB - Basildon, GB - Bristol - Coldharbour Lane, GB - Edinburgh, GB - Newcastle, GB - Southampton

Contract Type:

Hybrid Working:Hybrid

#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.

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.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.