Lead Electronics Engineer

CV-Library
Woking, Surrey
12 months ago
Applications closed

Related Jobs

View all jobs

Principal Photonics Architect

Cambridge Consultants United Kingdom

Head of Global Regulatory Affairs and Strategy

Isomorphic Labs Cambridge, United Kingdom

Translational Scientist (DMPK & Safety)

Healx Cambridge, United Kingdom
Hybrid

Lead Software Engineer

Faculty London, United Kingdom
Hybrid

Lead Data Scientist

Faculty London, United Kingdom
Hybrid

Lead Machine Learning Engineer

Faculty London, United Kingdom
Hybrid
Posted
29 Apr 2025 (12 months ago)
Share
Save job
Create job alert

Lead Electronics Engineer – £65k - £80k – semi remote - Woking

Hexwired Recruitment is recruiting for a rapidly expanding solutions provider based in Woking now seeking a Lead Electronics Engineer to help deliver key projects for clients across a range of industries! You will be working as part of an experienced team to develop a range of bespoke products.

The company are expanding to meet the demands of their clients and are seeking an Lead Electronics Engineer ideally with experience working on high integrity systems. You will be working with some of the biggest companies in the world.

This is a Embedded Software Engineer job focusing primarily on Linux Kernel Drivers.

Key Skills:

  • Masters or PhD in Embedded Systems, Maths, Electronics or similar

  • 3+ commercial Lead experience

  • 5+ years commercial Digital design experience

  • Good commercial DSP and/or FPGA Design experience

  • An interest or previous customer facing experience

  • Ability to gain security clearance

    The company are looking to offer circa £80k along with an excellent benefits package, remote work and the chance to work on a diverse range of products. If you’re interested in this Lead Electronics engineer job, 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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 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.