Senior Hardware Engineer

Matchtech
Glenrothes
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Electronics Engineer

Senior Electronics Engineer

Senior MLOps Engineer

Software Engineer

Machine Learning Performance Engineer, London

Machine Learning & Computer Vision Engineer

Summary of Role

Our client is looking for a dynamic and ambitious Hardware Engineer to work within their Power business. Reporting to the Engineering Lead, this is a creative and stimulating role offering excellent development opportunities and the chance to work alongside our highly skilled technical team. The ability to work on projects from initial concept stage, developing the concepts through to final production units. The successful candidate will be responsible for helping to develop and maintain our world class power product portfolio and technical roadmap.

Main Duties

  1. Working effectively within a multi-disciplined design team, adhering to company policies & procedures
  2. Analogue & Power Electronic product design
  3. Solving complex technical problems on new and existing products from our portfolio
  4. Electronic Schematic capture layout & simulation
  5. Design, commissioning, circuit debug and fault diagnosis through the project lifecycle
  6. Ability to design to cost targets
  7. Awareness and application of DFM&T (Design for Manufacture & Test)
  8. Document Verification and Qualification of products to industry and customer standards
  9. Configuration of product designs and their controlled change.
  10. Prepare technical documents & reports
  11. Support internal & customer discussions, leading in your area of expertise.

Skills & Experience:

Essential:

  1. Degree in Electronic Engineering or a related discipline
  2. Prior exposure and experience within Power Electronics/Design to cost & schedule
  3. Good and demonstrable problem-solving skills with practical laboratory test, circuit & test measurement experience
  4. Eligible or current holder of SC security clearance

Desirable:

  1. Experience with interfacing to RF circuitry and high-speed D/A/A/D conversion
  2. Experience with both RF and Power development
  3. Experience with programmable devices
  4. Experience in design of Switch Mode Power supplies, designs of Invertor and PFC design of full bridge, flyback, forward topologies or exposure to others
  5. Experience using the Mentor Graphics tool suite; xDX Designer, Constraints Editor, HyperLynx tools such as Signal Integrity & Power Analyser, System Vision simulation or equivalents would be advantageous.
  6. Knowledge of Firmware development, design and test using suitable toolsets (i.e. Xilinx Vivado, ModelSim). Proven analytical skills in circuit simulation (Matlab, LT Spice)
  7. Awareness and application of DFM&T (Design for Manufacture & Test)
  8. Experience of recognised standards MIL Std, IPS etc
  9. Experience in component selection & derating analysis
  10. Practical workshop skills including soldering

Benefits:

  • Competitive salaries.
  • 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
  • Contributory Pension Scheme (up to 10.5% company contribution)
  • Company bonus scheme (discretionary).
  • 6 times salary 'Life Assurance' with pension.
  • Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.
  • Enhanced sick pay.
  • Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.
  • Car / Car allowance (dependant on grade/ role)
  • Private Medical Insurance (dependant on grade)

#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.