Cubiq Recruitment

About the Company

We believe that advanced technology is paving the way to a more sustainable future.

We believe in going the extra mile to provide our customers with a competitive edge.

Since our inception in 2010, Cubiq has established a reputation for excellence in the delivery of high quality engineering talent to the most ground-breaking technology companies in the world.

Cubiq methods are subtle, data-driven, and highly effective, which is how we have become widely recognised as leading experts within engineering and technology recruitment.

By fostering a culture of systematic improvement throughout every area of our business, we are able to provide a premium service that evolves around you.

We deliver across the following fields:

Executive
Aerospace
Data & Analytics
Design, Development, and QA
Security, Cloud, & Infrastructure
Projects, Change, & Transformation
Commercial & Operations
Embedded & Electronics
Mechanical
Electrical
Systems
Quality

When it comes to linking 'best in class' engineers with companies developing world-changing products and services, it's all about quality, accuracy, and timing.

To achieve this, you need a recruitment partner that you can trust to deliver.

Call the team on +44 161 214 3842 / +447485321291 for a consultation or email enquiries@cubiqrecruitment.com for further details on our services.

Listed Jobs

Company Name

Cubiq Recruitment

Job Title

Artificial Intelligence Researcher

Job Description

Job title: Artificial Intelligence Researcher Role Summary: Drive the development of real‑world robotic learning systems that integrate multimodal perception, learning, and control, focusing on dexterous manipulation and mobile robotics. Expectations: Deliver production‑ready learning pipelines, model architectures, and scalable training infrastructure that reliably perform on physical platforms rather than simulations. Shape core AI architecture and influence research direction within a high‑ownership, small technical team. Key Responsibilities: - Train and evaluate imitation‑learning and reinforcement‑learning policies for robotic manipulation and navigation. - Design and implement diffusion‑based and transformer‑based control models for real‑time robot control. - Build scalable data‑collection, training, and inference pipelines for real‑world deployment. - Integrate perception, learning, and control modules into ROS‑based robotic systems. - Collaborate with robotics engineers to translate research prototypes into production‑grade systems. - Optimize model performance and system latency for on‑board execution. Required Skills: - Expertise in reinforcement learning or imitation learning for robotics. - Experience with diffusion policies or transformer‑based control architectures. - Proficiency with robot learning frameworks (e.g., ACT, PI0, GR00T, HIL‑SERL) and deep learning libraries (PyTorch, TensorFlow). - Strong programming in C++ and Python; familiarity with ROS and robotic software stacks. - Knowledge of robot manipulation, navigation, or perception is highly valuable. Required Education & Certifications: - Bachelor’s degree or higher in Computer Science, Robotics, Artificial Intelligence, or a related field. - Demonstrated research or professional experience in robot learning and embodied AI.

London, United kingdom

On site

13-03-2026