Senior Electronics Engineer (Power)

Leonardo UK Ltd
Edinburgh
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Electronics Engineer

Senior Electronics Engineer

Senior Electronics Engineer

Electronics Engineer

Senior Systems Engineer

Software Engineer

Job Description:

Leonardo is a world-class defence technology company in the heart of Edinburgh. We create cutting-edge Radars for the Eurofighter Typhoon, as well as Maritime and Airborne surveillance systems. We are also investors in innovation, undertaking all our own research to fuel our future products. We are recruiting talented, motivated engineers to join our growing team. We offer roles at all levels to match your skills and experience including Hardware Engineer, Senior Hardware Engineer, Principal Hardware Engineer, and Lead Hardware Engineer.

An exciting opportunity has arisen for a Principal Hardware Engineer to join the PSU Core Delivery Team (CDT) in Edinburgh. The Team provides expert advice, guidance, design, and governance throughout the full lifecycle of all projects on site for matters pertaining to Power.

What sort of work would I be involved in?

As an experienced PSU design engineer, your primary role is to lay the groundwork for the future Power Systems we require in the near and far term. PSU topology analysis and associated new technologies in Energy Storage and Energy Conservation, including limiting the disturbances seen by the Generator, will be key to your and our success in the future.

The role includes the need to support ad-hoc and emerging power-related tasks on the other Projects the PSU CDT is involved in. An overarching understanding of power techniques and the ability to step into a live issue is required.

The role also requires the ability for general oversight of several Projects, acting as a technical and managerial buffer between the Engineering, Project, and PSU CDT Management Teams.

Great work-life balance.

Life shouldn't be all work and no play. That's why we offer brilliant benefits like half days on Fridays, flexible hours, gym memberships, and many other incentives to make life great. Not to forget, our award-winning pension scheme.

Note:Due to the nature of the tasks involved, you will have to achieve full SC security clearance and may need to satisfy further UK eyes only and ITAR conditions.

Key Responsibility Areas

You will report directly to a CDT Lead Engineer, covering the wide scope of PSU and System Topologies, Power System Analysis, Power System Design, and partitioning of requirements into LRI, SRI, and SSRI. A clear and methodical work ethic is necessary when ‘fire fighting’ tasks emerge.

You will be responsible for:

  • Providing technical and managerial support to the Engineering, Project, and PSU CDT Management Teams.
  • Supporting Power CDT for a full range of Power System tests including prototyping, design verification, and production support.
  • Creation and review of documentation such as Outsource Procurement Specifications, Statement of Work, Circuit & System Simulations, associated White Papers, Test Reports, and Test plans.
  • Working closely with other CDTs and the Design for EMC Team to create Earth & Grounding diagrams, EMC Plans, and Design Stage Review material.
  • Knowledge sharing with the other members of the PSU CDT.
  • Providing design and domain knowledge support to Projects, CDTs, Suppliers, Workshare Partners, and Customers.
  • Reviewing System Requirements and partitioning into Power System Requirements and sub-partitioning into SRI Requirements.
  • Providing support to other members of the CDT, including schematic capture, component selection, derating, and simulation of power supply circuitry.
  • PSU Topology Analysis.
  • Review of current and emerging Energy Storage materials.
  • Review of current and emerging Energy Conservation techniques.
  • Review of how the Power System impacts the performance of the Generator.

You will also play an active role in the ongoing process improvement initiatives within the team and knowledge sharing of Power-related topics across the wider business.

Is there room to grow?

We encourage our Engineers to find and follow their passion. We offer fantastic opportunities for learning, development, and professional growth. Your career will be massively varied. Join us, and you will be constantly reinventing and developing your technical skillset from one project to the next. Learning on the job isn't just a benefit – it's a must.

Skills, Qualifications & Knowledge Required

In order to be considered for this role, you will have previous experience in the design, manufacture, test, and integration of PSUs and/or Power Systems. Ideally, you will possess a minimum of HND in Engineering or Systems or a related technical discipline.

You will ideally have knowledge in the following areas:

  • ACDC and/or DCDC switched mode power supply design.
  • Control and interface circuitry.
  • Experience with Mentor Graphics, familiar with a recognised Schematic and Simulation toolset.
  • Experience with simulation software: Simetrix, LT Spice, Matlab.
  • Fault diagnosis to component level.
  • Electrical power systems.
  • Electrical safety (RF safety is a ‘nice to have’).
  • Measurement & Instrumentation systems.
  • Familiarity with Microsoft Office and Visio.
  • MS Project and Work Package Management.

Primary Location:GB - Edinburgh

Additional Locations:GB - Newcastle

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.