Lead Electronics Engineer

Dorchester
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior RF AI/ML Data Scientist — DSP & SDR Onsite

Lecturer in Machine Learning for Engineering

Data Engineer

FIRE SERVICES DATA ANALYST - FIRE

FIRE SERVICES DATA ANALYST - FIRE

Lead Electronics Engineer – £65k – Dorchester

Hexwired Recruitment has partnered with a world leading Electronics manufacturer with offices in Dorchester, now seeking a Lead Electronics Engineer to join their multidisciplinary team. Due to extensive success in their industry, they are now seeking a Lead Electronics Engineer with solid experience within PCB design.

The team is well established, and you will be working with a multidisciplinary team on a range of new and existing products. The company are constantly expanding so there is room for progression within the role. The initial role will be to lead a small team but this will progress into a more senior role within the business.

This is an Lead Electronics job focusing primarily on General Electronics, PCB design as well as leading a small team. This role is well suited to someone with Technical Project experience who is looking for the next step in their career.

Key Skills:

  • Degree in Embedded Systems, Electronics or similar

  • 1+ year in a technical Lead or Team lead role

  • At least 5 years commercial Electronics Design experience

  • Good commercial PCB design experience

  • Good written and verbal communication skills

    The company are looking to offer circa £65k 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 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.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 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.