Machine Learning Researcher - LLM/VLM

Staines
7 months ago
Applications closed

Related Jobs

View all jobs

Hydrologist/Senior Environmental Data Scientist

Data Developer - Fixed Income

Machine Learning Research Engineer - NLP / LLM

AI/ML Engineer

Senior RF Data Scientist / Research Engineer

Senior RF Data Scientist / Research Engineer

Machine Learning Researcher - LLM/VLM

Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge, Cambridgeshire.

Key Responsibilities:

As a Machine Learning Researcher, you will:

Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems.
Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices.
Design and develop groundbreaking machine learning algorithms and systems.

Key Requirements:

To be considered for this Machine Learning Researcher role, you must have:

A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field.
Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
Strong programming skills in C++, C, or Python.
Experience working with embedded or mobile devices.
Ideally, 2+ years of industry experience post-PhD.

How to Apply:

To apply, please send your CV to (url removed) or contact Nick on (phone number removed) / (phone number removed)

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.

Maths for Robotics Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for robotics jobs in the UK it is easy to assume you need degree level maths across everything. Most roles do not work like that. What hiring managers usually mean by “strong maths” is much more practical: you can move confidently between coordinate frames you understand rotations without getting lost you can reason about kinematics, control, uncertainty & optimisation you can turn that maths into working code in a robotics stack This guide focuses on the only maths topics that consistently show up across common UK roles like Robotics Software Engineer, Controls Engineer, Autonomous Systems Engineer, Perception Engineer, SLAM Engineer, Robotics Research Engineer, Mechatronics Engineer & Robotics Systems Engineer. You will also get a 6 week learning plan, portfolio projects & a resources section so you can learn fast without drowning in theory.

Neurodiversity in Robotics Careers: Turning Different Thinking into a Superpower

Robotics is where software, hardware & the physical world collide. From warehouse automation & surgical robots to drones, cobots & autonomous vehicles, robots must sense, think & act reliably in messy real environments. To build that kind of technology, you need people who think differently. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too chaotic” for engineering. In reality, many traits that made school or traditional offices hard are exactly what robotics teams need: intense focus on complex systems, pattern-spotting in sensor data, creative problem-solving when hardware misbehaves. This guide is written for neurodivergent job seekers exploring robotics careers in the UK. We’ll cover: What neurodiversity means in a robotics context How ADHD, autism & dyslexia strengths map to key robotics roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in robotics – & how to turn “different thinking” into a professional superpower.

Robotics Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the UK robotics jobs market is in a strange but interesting place. On one hand, UK manufacturers, logistics firms and warehouses must automate to stay competitive, tackle labour shortages and meet productivity and net-zero targets. On the other hand, the UK still lags badly behind peers in robot adoption, with relatively low robot density in factories compared with other advanced economies – which is both a challenge and a massive opportunity. The National Robotarium +1 Add in AI, computer vision and edge computing, and you get a robotics landscape that is: More selective in hiring. More focused on real operational outcomes. More integrated with software, data and safety standards. Whether you are a robotics job seeker planning your next move, or a recruiter building automation and robotics teams, this guide explores the key robotics hiring trends for 2026.