Electronics Engineer

Damia Group
Gloucester
1 year 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 DESIGN ENGINEER

£40-65k + car allowance, bonus and extensive benefits

This is a fantastic opportunity to join a renowned global consultancy who are at the forefront of technology within Defence and Central Government.

You will receive excellent training and career development. You will get the chance to deepen and broaden your skills further as you progress your career. You will work in a dynamic environment based on in multi-disciplinary project teams.

We are looking for Engineers with some experience and interest in one or more of the focus areas below:

Essential:

  • RF and analogue PCB circuit design and layout from VLF to microwave, including amplifiers, filters, mixers, etc.
  • High speed digital PCB circuit design and layout, including FPGAs, SoCs, ADC & DACs
  • Power supply design
  • System and circuit modelling (eg using SPICE, Matlab, CST, Python)

Any experience in the following areas would also be advantageous:

  • Mechanical design with 3D CAD
  • Lab instruments (eg oscilloscopes, spectrum analysers, vector network analysers)
  • Design and test for EMC and environmental compliance
  • Software and firmware development in support of testing or interfacing to electronics (eg Python, C/C++, VHDL, Linux)

The office provides an informal environment that reflects our client's culture, and they offer facilities to enable their people to del...

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.