Embedded Firmware Engineer

Rise Technical Recruitment Limited
Chard
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Manufacturing Data Scientist

Audio Machine Learning Engineer

Head of Data Science

Manufacturing Data Scientist

Data Scientist KTP Associate

Embedded Firmware EngineerChard, SomersetHybrid Working - 50/50 split£47,000-£57,000 (DOE) + Progression + Training + Relocation + Qualifications and Certifications Paid For + Life Insurance + BenefitsExcellent opportunity for an Embedded Firmware Engineer to join an industry leading business offering structured and planned progression routes through the business, an excellent work-life balance, and brand-new greenfield projects to get stuck into!This company have boasted impressive growth in recent years. They're about to launch a brand-new suite of exciting products and the R&D has already started on the next generation. In this role you will join a good sized Firmware Department part of a much larger R&D Department. You'll predominantly work with Embedded C on MCU Platforms. You'll work very closely with other departments such as the Computer Vision, Electrical, and Mechanical Teams to design and build prototype components and products.The ideal candidate will be an Embedded Firmware Engineer with experience of Embedded C development, ideally without RTOS. The successful candidates will have experience with MCU Platforms such as ARM, ST, Microchip, TI, etc.This is a fantastic opportunity to join a rapidly growing business offering excellent personal development, superb retention levels, and an excellent work/life balance!The Role:*Embedded C Development*MCU Platforms*Working with the wider R&D Department*50/50 on-site and home workingThe Person:*Embedded Firmware and C experience*Experience with MCU Platforms like ARM, ST, Microchip, TI, etc.*Full right to work in the UK*Commutable to Chard at least 2-3 days a weekReference Number: BBBH229545CTo apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts as an employment agency for permanent roles and an employment business for temporary roles.The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.