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

Apply Now

Embedded Software Engineer

Accelero
Cardiff
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Senior Design Engineer (NLP Products)

Senior Design Engineer (NLP Products)

Engineering Lead - Data Engineering

MLOps Engineer

Job Title:Embedded Software Engineer - R&D Team

Location:Cardiff (Hybrid: 3 days onsite, 2 days WFH)

Salary:£65,000 - £75,000


About the Role:

We are seeking a highly skilled and motivatedEmbedded Software Engineerto join our dynamic R&D team within an innovative engineering organisation. This role is pivotal in designing and developing cutting-edge embedded systems for applications requiring advanced computer vision and deep learning capabilities. The successful candidate will contribute to exciting projects that push the boundaries of technology.


Required Skills and Experience:

  • Proficiency inC,C++, andPythonprogramming languages.
  • Strong experience withReal-Time Operating Systems (RTOS)andLinuxfor embedded development.
  • Expertise in developing and deployingcomputer visionapplications.
  • Hands-on experience withdeep learning modelsand frameworks such asTensorFlow,Caffe2, andOpenCV.
  • Familiarity withCI/CD pipelinesand tools to support automated development workflows.
  • A solid understanding of embedded hardware and software integration.
  • Strong problem-solving skills and the ability to work both independently and collaboratively within a team.
  • Excellent communication and documentation skills.


What We Offer:

  • Competitive salary (£65,000 - £75,000).
  • Flexible hybrid working model (3 days onsite, 2 days WFH).
  • Opportunities to work on innovative and impactful projects in a collaborative R&D environment.
  • 25 days leave + BHs.
  • Private Healthcare.
  • Professional development and career growth opportunities.
  • A supportive and inclusive workplace culture.

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.