Power Electronics Engineer

Nailsea
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Workforce Modelling

Data Scientist - Workforce Modelling

Strategic Data Scientist: Workforce Modelling for Energy

Senior Director, Data Science and Analytics

Data Scientist - Workforce Modelling

Data Scientist in Power Electrical Systems

Power Electronics Engineer - £45k - £50k – Nailsea

Hexwired Recruitment has partnered with a rapidly expanding Electronics manufacturer now seeking a Power Electronics engineer with good exposure to mixed signal design.

The company are rapidly expanding due to successful investment as well as partnerships with several multinationals in their sector. This is an exciting opportunity for someone looking to join a well established team and company, with existing clients and products in the market.

This is a Power Electronics role so due to the nature of the work, most of the work will be onsite. This role will focus on a combination of Power electronics design and PCB layout. You will get the chance to work on products used globally from design to manufacture.

Key Skills:

  • Degree in Electronics design, Power Electronics, Electronics or similar

  • Strong commercial Power Electronics experience

  • Good commercial Schematic capture experience

  • Good Mixed Signal design experience

  • Experience in High Voltage power design is highly desirable but not essential.

    They are looking to pay circa £45k - £50k dependent on experience with potential flexibility beyond this. If you’re interested in this Power Electronics role, please apply.

    For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today

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.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.