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

Apply Now

Machine Learning Researcher - LLM/VLM

Staines
5 months ago
Applications closed

Related Jobs

View all jobs

Javascript Developer - Hybrid Remote

Machine Learning Quant Engineer - Investment banking/ XVA

Deep Learning Engineer

AI Research Engineer

Cheminformatics Software Developer (Full Stack)

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.

Robotics Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK robotics hiring has shifted from toolbox checklists to capability‑driven evaluation that emphasises deployed systems, safety, reliability and total cost of ownership. Employers want proof you can ship and sustain robots in production—industrial arms & cobots, AMRs/AGVs, field robots, surgical/med‑tech, warehouse automation, inspection & maintenance. This guide explains what’s changed, what to expect in interviews and how to prepare—especially for robotics software engineers (ROS/ROS 2), perception/vision engineers, controls & motion planners, mechatronics & embedded, safety & compliance, test/V&V, DevOps/SRE for fleets, and robotics product managers. Who this is for: Robotics software/perception/controls engineers, mechatronics & embedded, simulation & test, DevOps/SRE for robotics fleets, HRI/UX, safety/compliance, field/commissioning engineers, and product/technical programme managers in the UK.

Why Robotics Careers in the UK Are Becoming More Multidisciplinary

Robotics used to be the domain of mechanical, electrical and software engineers. In the UK today, robotics is more than motors and control loops — it’s about perception, interaction, trust, regulation and integration into human environments. That evolution means robotics careers are becoming more multidisciplinary. Modern robots interact with people, collect data, operate under constraints, and often assist in safety-critical environments (healthcare, manufacturing, transport). So engineers now collaborate closely with legal, ethical, psychological, linguistic and design experts. In this article, we explore why UK robotics careers are evolving into multidisciplinary roles, how law, ethics, psychology, linguistics & design intersect with robotics, and how job-seekers and employers can adapt to this shift.

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

Robotics is transforming manufacturing, healthcare, logistics, agriculture, entertainment and more. In the UK, advances in robotics span autonomous mobile robots (AMRs), robotic arms, surgical robotics, drone systems, human-robot interaction, and collaborative robots (cobots). Building effective robotics systems requires not only strong hardware and software, but also finely coordinated teams with clear roles from research through deployment and maintenance. If you’re a candidate applying for robotics roles or an employer hiring through RoboticsJobs.co.uk, this guide will help you understand who does what in a mature robotics department, how the lifecycle of a robotics product works, what skills and qualifications UK employers typically expect, what salaries look like, common challenges, and best practices for structuring teams that deliver.