Machine Learning Researcher - LLM/VLM

Staines
10 months ago
Applications closed

Related Jobs

View all jobs

Engineering Manager – Software & ML

Research Software Development Engineer

Genomic Data Scientist in Rare Disease (we have office locations in Cambridge, Leeds & London)

Quant Developer – OTC Pricing

Modelling Advancement Lead

Software 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.

Where to Advertise Robotics Jobs in the UK (2026 Guide)

Advertising robotics jobs in the UK requires a different approach to most technical hiring. The candidate pool spans mechanical engineers, software developers, controls specialists, computer vision researchers and systems integrators — a multidisciplinary mix that general job boards are poorly equipped to reach. The strongest robotics candidates are often embedded in research groups, defence programmes or advanced manufacturing environments, and move between roles through specialist networks and industry events rather than mainstream platforms. This guide, published by RoboticsJobs.co.uk, covers where to advertise robotics roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Robotics Employers to Watch in 2026: UK and Global Companies Transforming Automation Careers

Robotics is moving rapidly from factory floors into healthcare, logistics, agriculture, autonomous systems, and consumer products. As automation becomes embedded in everyday life, companies are investing in robots that operate alongside humans, analyse environments in real time, and learn from data. In 2026, demand for robotics engineers, software developers, system integrators, and AI specialists continues to surge. For professionals exploring opportunities on www.RoboticsJobs.co.uk , understanding the employers that are scaling, winning contracts, securing investment, or expanding into the UK market is crucial. This article highlights top robotics employers to watch in 2026, spanning innovative startups, high‑growth scale‑ups, and established global technology leaders with strong UK presence.

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.