Permanent Embedded Linux Jobs in Staines

3 of 3 Permanent Embedded Linux Jobs in Staines

Artificial Intelligence Researcher

Staines-upon-Thames, England, United Kingdom
Hybrid / WFH Options
microTECH Global LTD
of the art technologies. We need enthusiastic engineers with a strong academic and experience in Machine Learning. The candidate will contribute to the development and optimisation of models for embedded devices. Key Responsibilities: Ensure that work packages meet requirements, pass quality standards and are integrated with other parts of the system Innovate novel AI technologies to enhance audio quality … on embedded devices Improve the run time performance of the AI model on device, including optimising model size, latency and quality Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Work to a professional standard, paying due regard to safety, efficiency, cost effectiveness, time scales and … Physics, Mathematics, Computer Science or related discipline. An equivalent period of industrial experience may be substituted Proven skills in compiling, deploying, profiling and optimizing latency and quality models on embedded devices (NPU and/or CPU) Excellent general AI skills, including improving quality of models using various techniques, including developing new architectures, novel training approaches. Experience with building training More ❯
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AI Researcher

Staines-Upon-Thames, England, United Kingdom
Hybrid / WFH Options
IC Resources
Job Title: AI Researcher – Audio Location: Staines-upon-Thames (Hybrid) Type: Permanent Salary: Competitive + Benefits Overview: An innovative tech company is looking for an AI Researcher/Embedded AI Engineer to develop and deploy AI-powered audio enhancement solutions on edge devices. This role focuses on optimising deep learning models for real-time performance in resource-constrained environments. … Responsibilities: Develop AI models to improve audio quality on embedded systems. Optimise model size, latency, and efficiency for on-device deployment (CPU/NPU). Translate complex requirements into robust, production-grade code. Work across software, hardware, and research teams to ensure system-level integration. Contribute to innovation through research exploration and proposal development. Required Skills: MSc/PhD … or equivalent experience) in Computer Science, Engineering, or related field. Hands-on experience deploying ML models on embedded hardware. Strong background in audio signal processing and machine learning. Proficient in Python and C++ for embedded development. Strong communication and collaboration skills, with experience planning technical work. Nice to Have: Research publications or open-source contributions in ML/ More ❯
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Machine Learning Engineer

Staines-Upon-Thames, England, United Kingdom
5V Tech | Certified B Corp™
Electronics R&D Hybrid (Staines-upon-Thames, Surrey) Permanent Up to £95k per year Are you passionate about AI innovation and eager to apply your expertise in real-world embedded environments? I'm looking for an Engineer to join a world-renowned R&D team driving the next generation of on-device AI and audio enhancement for smart consumer … the forefront of AI innovation in the digital TV and home entertainment space. You’ll contribute to cutting-edge AI development, with a focus on enhancing audio performance in embedded systems. Your responsibilities will include: Designing & optimising deep learning models for NPU/CPU deployment. Innovating ML architectures and training approaches for sound quality. Collaborating with expert engineers in … a fast-paced, collaborative environment. What We’re Looking For: MSc or PhD in AI, ML, Computer Science or related field Demonstrated experience deploying AI models to embedded platforms Strong skills in model optimisation (latency, size, quality) Background in audio AI – speech enhancement, noise reduction, etc. Proficiency in C++ (embedded Linux), Python, and ML frameworks like TensorFlow More ❯
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