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

Apply Now

Embedded Linux Engineer

Hexwired Recruitment Limited
united kingdom
8 months ago
Applications closed

Related Jobs

View all jobs

First Team Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Financial Data Analyst (Public Finance)

Forward Deployed Data Scientist

Embedded Linux Engineer – £65k - 100% remoteHexwired Recruitment is recruiting for a rapidly expanding solutions provider now seeking an Embedded Linux Engineer to help deliver key projects for clients across a range of industries! You will be working as part of a small development team utilising the latest tech in the industry.The company are expanding to meet the demands of their clients and are seeking an Embedded Linux Engineer with a particular interest in Linux Kernel drivers as well as BSP and Bootloader development. You will be part of a small, development team working remotely. This is a Fully remote Embedded Linux role working with customers globally.Key Skills: * 3+ commercial software experience * Good commercial Embedded Linux experience * Experience developing Linux Drivers * Experience with Yocto and associated tools is highly desirable but not essential.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 Embedded Linux role, 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

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.

Jobs

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.

Jobs

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.

🍪 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.