Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Electronics Engineer

The One Group
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Electronics Manufacturing Data Analyst

Electronics Manufacturing Data Analyst

Applied Machine Learning Engineer

Machine Learning Research Engineer - Speech/Audio/Gen-AI - 6 Month Fixed Term Contract

Machine Learning Research Engineer - Speech/Audio/Gen-AI - 6 Month Fixed Term Contract

Senior Snowflake AI Data Engineer

Here's an opportunity for a well-rounded, experiencedElectronics Engineer….

Based in the nucleus of Cambridge's hi-tech community, this world-leading organisation are developing next-gen solutions for optical products. What they are achieving with electronics and organic materials is a game-changer. Once you see the products, you will be fascinated and want to be involved.

Working predominantly on site, this is a hands-on role, which would suit an individual with a strong analogue electronics background.

The role will utilise your skills and experience in a wide range of activities across PCB design, FPGA development, analogue electronics, display technologies and circuit design and simulation.

You will need to be experienced at building/testing/developing prototypes and in particular, leading the development of small form factor consumer electronics, would be highly advantageous.

Basically, we're looking for someone with plenty of breadth, who is going to enjoy being part of a small team!

There may also be some occasional international travel to support customers.

About You:

  • Degree qualified, with a superb understanding of analogue/circuit design and architecture down to component level
  • Experience of PCB design/Altium
  • FPGA experience (Verilog/VHDL) - you will need to lead the development from scratch
  • Programming experience (Python, Matlab, C#, ASP.Net)...

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.