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

Apply Now

AI Researcher

Redline Group Ltd
Staines-upon-Thames
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Manager, London London

Computer Vision Engineer

Machine Learning Manager, London

2 Senior Lecturer / Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK

Engineering Program Manager, Machine Learning

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 or 07961158785TPBN1_UKTJ

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

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Jobs

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

🍪 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.