Jobs in London

VLA Pre-training Engineer (Deep Learning)

As a VLA Pre-training Engineer, you will focus on training and fine-tuning deep learning models for robotics applications. Your responsibilities include behavior cloning, reinforcement learning, data collection, and building continuous pipelines for model training and deployment. You will work closely with the Data Collection and MLOps teams to ensure high-quality data and efficient model performance.

Humanoid London, United Kingdom

On-site Permanent

Staff AI Engineer, Robot Learning (Navigation)

This role involves leading the development of advanced computer vision and spatial understanding systems for humanoid robots. You will work on integrating perception, high-level reasoning, and large-scale data pipelines to enable robots to navigate and interact in complex environments.

Humanoid London, United Kingdom

On-site Permanent

Senior Cloud Site Reliability Engineer

As a Senior Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of their AI cloud platform, focusing on the Model Development Platform and GPU Compute platform. You will define operational standards, improve capacity planning, and ensure resilient and efficient cloud infrastructure, working closely with ML and platform teams.

Wayve London, United Kingdom

On-site Permanent

Research Scientist, Wayve Labs

As an Applied Scientist at Wayve Labs, you will work on cutting-edge AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. Your role involves developing and deploying advanced ML models, conducting empirical research, and contributing to the team's long-term goals in embodied AI.

Wayve London, United Kingdom

On-site Permanent

Reinforcement Learning Engineer - Manipulation

As a Reinforcement Learning Engineer, you will develop and train manipulation policies using reinforcement learning in both simulation and real-world environments. You will collaborate with teleoperations, testing, and operations teams to create robust and performant manipulation systems for humanoid robots.

Humanoid London, United Kingdom

On-site Permanent

Simulation Engineer - Manipulation

As a Senior Simulation Engineer, you will design and maintain simulation environments for dexterous manipulation tasks in industrial, service, and home settings. You will focus on creating realistic physics-based environments, training reinforcement learning policies, and reducing the sim-to-real gap to ensure reliable policy transfer to hardware.

Humanoid London, United Kingdom

On-site Permanent

Manipulation Capabilities Engineer

As a Manipulation Capabilities Engineer, you will focus on developing and deploying manipulation policies for humanoid robots using deep learning and robotics. You will work closely with the simulation, teleoperations, and controls teams to improve data quality, robot motion, and hardware design, ensuring successful real-world application of your work.

Humanoid London, United Kingdom

On-site Permanent

Engineering Recruitment Lead (Physical AI / Humanoid Robotics)

The Engineering Recruitment Lead will drive the end-to-end hiring strategy for specialized roles in robotics, AI, and hardware. This strategic role involves building high-performance pipelines, optimizing interview processes, and leveraging AI tools to attract top talent in a competitive market.

Humanoid London, United Kingdom

On-site Permanent

Senior Dev/ML Ops Engineer

As a Senior Dev/MLOps Engineer, you will own the full lifecycle of ML models and core infrastructure, from development to deployment and monitoring. You will build and maintain CI/CD pipelines, automate deployment processes, and collaborate with software engineers, data scientists, and product teams to bring ML-powered features to production.

Humanoid London, United Kingdom

On-site Permanent

Robotics Simulation & Control Engineer

As a Robotics Simulation & Control Engineer, you will design and validate new robotic platforms using physics simulation and reinforcement learning. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies, collaborating closely with mechanical, control, and perception teams.

Humanoid London, United Kingdom

On-site Permanent

Staff Controls Software Engineer

This role involves leading the development, integration, and maintenance of production-grade control software for humanoid robots. Responsibilities include designing real-time control architectures, implementing high-performance control loops, industrializing algorithms, and ensuring safety and reliability. The role also involves mentoring engineers and contributing to the long-term software roadmap.

Humanoid London, United Kingdom

On-site Permanent

Staff/Senior Robotics Software Engineer - Simulation

This role involves designing and implementing high-fidelity simulation environments for robotic systems, writing clean and scalable code, and integrating digital twins. The engineer will work closely with multiple teams to ensure seamless integration of simulation tools and stay informed on current trends in the simulation field.

Humanoid London, United Kingdom

On-site Permanent

Full Stack Engineer

As a Full Stack Engineer, you will design and implement a cloud-based platform to manage a fleet of humanoid robots, develop robust backend services, and build lightweight software services for remote control and diagnostics. You will also streamline workflows, automate processes, and maintain clear documentation to support team knowledge and future development.

Humanoid London, United Kingdom

On-site Permanent

Global Head of Manufacturing

The Global Head of Manufacturing will lead the end-to-end manufacturing strategy for Humanoid's humanoid robots, from low-volume prototyping to scalable global production. Key responsibilities include building a high-performance manufacturing team, establishing world-class processes, and ensuring quality and regulatory compliance.

Humanoid London, United Kingdom

On-site Permanent

Staff Cloud SRE – AI/ML Platform & GPU Compute

This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development Platform and GPU Compute infrastructure. Responsibilities include defining SLOs, improving capacity planning, leading incident response, and enhancing observability and automation. The position is ideal for someone with experience in SRE, large-scale cloud systems, and GPU-backed environments.

Wayve London, United Kingdom

On-site Permanent