Robotics Engineer (Night Shift) UK, London On-site

Humanoid; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Stock options

30+ days off

Private healthcare

Pension scheme

Free meals in-office

Frontier tech exposure

Job summary

Humanoid in the United Kingdom is seeking a Robotics Engineer to operate, maintain, and optimise our robotics fleet and AI Data Collection System. You will ensure high-quality data generation and reliable experimentation across robotics research, with a permanent night shift from 22:30 to 07:00 and occasional travel.

You will work with world-class engineers to calibrate systems, run data-collection experiments, and manage datasets for imitation learning and ML workflows while upholding safety

Qualifications

• Bachelor’s or Master’s degree in robotics, engineering, computer science, or related field.
• Hands-on experience operating robotic systems or automated hardware setups.
• Strong organisational and communication skills.
• Experience with data collection and data-management workflows for ML/robotics.
• Hands-on experience with ROS.

Responsibilities

• Ensure continuous uptime of the robotics fleet and AI Data Collection System through proactive monitoring and preventive maintenance.
• Oversee daily system operation of robots, sensors and data pipelines.
• Configure and prepare robotic systems for data-collection runs, including calibration and software setup.
• Execute and support data-collection experiments with engineers and researchers.
• Manage collection, verification, labelling, and storage of datasets for imitation learning and ML workflows.
• Troubleshoot hardware, software, and system issues to minimise downtime.
• Maintain records of equipment status and performance; coordinate replacements.
• Develop and follow operational best practices for safety and efficiency.
• Schedule resources to optimise experiment throughput and system availability.
• Support improvements to data-collection processes and documentation.

Skills

ROS

Linux

Python

C++

Robotics experience

Education

BSc in Robotics

MSc in related field

Tools

ROS Tools

Linux

Job description

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

About the Role

The Robotics Engineer will be responsible for the operation, maintenance, and optimisation of the robotics fleet and AI Data Collection System. The role focuses on ensuring that data-collection pipelines, hardware setups, and system configurations support reliable experimentation and high-quality dataset generation for robotics research and development. A key aspect of this role is ensuring maximum system uptime and rapid response to issues that may impact data-collection Continuity.

Role Purpose

To ensure continuous, reliable operation of the robotics fleet and AI Data Collection System, enabling high-quality data generation and uninterrupted experimentation for robotics research.

This position is a permanent night shift, with working hours of 10:30 pm - 7:00 am, and may require occasional travel in line with business needs.

What You'll Do:

• Ensure continuous uptime of the robotics fleet and AI Data Collection System through proactive monitoring, rapid issue response, and preventive maintenance.

• Oversee daily system operation, ensuring all robots, sensors, and data pipelines are functioning correctly.

• Configure and prepare robotic systems for data-collection runs, including calibration, software setup, and environment readiness.

• Execute and support data-collection experiments in collaboration with engineers and researchers, ensuring reliability and repeatability.

• Manage the collection, verification, labelling, and organised storage of datasets used for imitation learning and related ML workflows.

• Troubleshoot hardware, software, and system issues to minimise downtime and maintain workflow continuity.

• Maintain accurate records of equipment status, system utilisation, and performance, and coordinate procurement of required components and replacements.

• Develop and follow operational best practices to ensure safety, efficiency, and standardisation across data-collection activities.

• Schedule and prioritise robotics and data-collection resources to optimise experiment throughput and system availability.

• Support improvements to data-collection processes, system stability, documentation, and operational procedures.

What We’re Looking For

• Bachelor’s or Master’s degree in Robotics, Engineering, Computer Science, or a related technical field.

• Practical experience operating robotic systems or automated hardware setups.

• Strong organisational, time-management, and communication skills.

• Experience with data collection, dataset organisation, and data-management workflows for machine learning or robotics.

• Hands-on experience with ROS (Robot Operating System).

• Proficiency with Linux-based development and runtime environments.

• Basic proficiency in Python or C++ (preferred but not required).

• Preferred Qualifications

  • Experience with inventory tracking, procurement, and supplier coordination.
  • Familiarity with operational safety practices and compliance requirements.
  • Demonstrated interest in robotics, automation, and applied research.

What We Offer

• Competitive equity: stock options with meaningful upside as we scale.

• 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).

• Private healthcare, including virtual and in-person care.

• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.

• Free daily breakfast, catered lunch, and snacks in-office.

• Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.

• Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.