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

Apply Now

Embedded Linux Software Engineer

Bristol
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Geospatial Data Engineer

Data Scientist

Lead Data Engineer

Embedded Linux Software Engineer
Bristol - remote & hybrid working
£45,000 to £60,000 + great benefits package

This is an excellent opportunity for an Embedded Software Engineer with strong Linux experience to join a rapidly growing company in a highly varied and interesting role where you can progress your career.

This company are leaders in energy saving technology. They are growing exponentially and through this growth are looking to add an Embedded Linux Engineer to their busy R&D team alongside electronics engineers, embedded software engineers, cloud engineers, web engineers and data scientists!

In this role you will support a varied development team working on bespoke hardware. This is a hybrid working role with two to three days a week required on site.

The ideal candidate will be an Embedded Software Engineer with experience of Linux, IoT and Perl.

This is a fantastic opportunity for an Embedded Linux Engineer to join a company that looks after its staff, rewards them well, and will allow you to progress your career.

The Role:
*Contribute to an established Perl codebase
*Assist in developing a next generation tech stack
*Work on software design, testing and integration with custom embedded devices
*Collaborate with cloud, electronics, and service teams to develop effective engineering solutions
*Hybrid working from Bristol and remote working available

The Person:
*Embedded software engineer with experience working in Linux environments
*Knowledge of IoT and internet security is beneficial
*Experience working with Perl, PHP, Linux, MQTT, LoRa (wireless), Modbus all beneficial
*Experience of Jira, Bitbucket, Jenkins, Google Workspace all beneficial
*Any experience with Golang, Docker, RabbitMQ is desirable but not a necessity

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 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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.