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AI Researcher

Redline Group Ltd
Posted 3 days ago, valid for a month
Location

Staines-Upon-Thames, Surrey TW18, England

Salary

£90,000 per annum

Contract type

Full Time

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Sonic Summary

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  • An AI Researcher position is available at a leading global technology company in Staines-upon-Thames, Surrey, focusing on developing AI technologies for advanced digital TV products.
  • The role requires a Master's or higher degree in a related field and expertise in optimizing ML models for embedded devices.
  • Key responsibilities include enhancing audio quality on embedded devices, optimizing AI model performance, and collaborating with cross-functional teams.
  • The position offers a competitive salary and excellent benefits, along with a hybrid working policy of 3 days in the office and 2 days from home.
  • This opportunity promises significant professional growth within a supportive and innovative environment.

An exciting opportunity has arisen for an AI Researcher to join a leading global technology company at their European R&D centre based in Staines-upon-Thames, Surrey. The organisation specialises in cutting-edge innovations across telecommunications, home appliances, and digital products. This role focuses on the development of state-of-the-art AI technologies for advanced digital TV products, with applications in embedded systems and multimedia solutions.

The successful AI Researcher will join an experienced and collaborative team, working on innovative projects that shape the future of technology. The position offers a hybrid working policy (3 days in the office, 2 days from home) and the chance to work on transformative solutions in a supportive and inclusive environment.

Key Responsibilities:

  • Develop and implement AI technologies to enhance audio quality on embedded devices.
  • Optimise AI model performance, focusing on latency, size, and quality improvements.
  • Translate complex functional requirements into detailed designs and actionable solutions.
  • Design and integrate demo applications to showcase AI innovations.
  • Collaborate with cross-functional teams to ensure deliverables meet quality standards and align with system requirements.
  • Contribute to the development of high-quality, efficient, and reliable embedded software solutions.

The ideal AI Researcher will have the following skills/experience:

  • A Master's or higher degree in Electronics, Physics, Mathematics, Computer Science, or a related discipline (or equivalent industrial experience).
  • Proven expertise in optimising ML models for embedded devices (NPU/CPU), including compiling and deploying models.
  • Strong understanding of AI techniques, including architecture development, training pipelines, and dataset integration.
  • Experience with sound enhancement technologies, particularly using AI.
  • Proficiency in embedded software design and implementation.
  • Excellent communication skills and experience in project planning and team collaboration.

Desirable skills:

  • Publications in leading ML conferences (e.G., ICML, ICCV, SysML).
  • Contributions to open-source ML frameworks like TensorFlow or TensorFlow Lite.
  • Experience with knowledge distillation, federated learning, or computer vision algorithms.
  • Embedded Linux software development experience, including C++ and Python programming.

This is an excellent opportunity to join a forward-thinking organisation renowned for its culture of innovation and commitment to excellence. The role offers a competitive salary, excellent benefits, and significant opportunities for professional growth.

APPLY NOW for the AI Researcher role based in Staines-upon-Thames, Surrey, by sending your CV and Cover Letter to or contact us at 01582878820 or 07961158785

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In order to submit this application, a TotalJobs account will be created for you. As such, in addition to applying for this job, you will be signed up to all TotalJobs’ services as part of the process. By submitting this application, you agree to TotalJobs’ Terms and Conditions and acknowledge that your personal data will be transferred to TotalJobs and processed by them in accordance with their Privacy Policy.