Electronics Engineer

Poole
10 months ago
Applications closed

Related Jobs

View all jobs

Electronics Data Analyst

Senior Data Analyst, Electronics in Defence Manufacturing

Data Analyst

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Electronics Engineer – Poole - £45k

Hexwired Recruitment has partnered with a well established solutions provider based in Poole who are now seeking an Electronics Engineer with solid PCB design experience, to help develop their latest range of products.

The company are well established and are expanding because of new and existing clients. They are seeking an Electronics Engineer with interest in working on varied projects, utilising a range of technologies including RF, Mixed Signal design, PCB design and Embedded C.

This is a Electronics Engineer role, primarily hands and you will be the main contributor to a new project. Due to the nature of the work, this will be a mostly onsite role with occasional remote working.

Key Requirements:

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

  • 3+ years commercial engineering background (Mixed Signal design preferred preferred)

  • Excellent PCB design experience using Altium

  • Experience or exposure to Embedded C

  • Good written and verbal communication skills

  • The ability to gain Security clearance is advantageous but not essential

    The company are looking to offer circa £45k dependent on experience. Along with an excellent benefits package. If you’re interested in this Senior Electronics Engineer role, please apply.

    For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, C# .net, Mechanical Design, Machine Learning, AI, FPGA, Electronics, Java, Python, 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.

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.