Robotics Jobs in London

The UK's tech and finance hub, home to a diverse robotics ecosystem. From startups to global giants, London offers a unique blend of innovation and industry.

Open roles
140
Salary range
£42k – £121k
Hiring companies
19

London is a bustling metropolis that serves as the heart of the UK's tech and finance sectors. The city is home to a thriving robotics ecosystem, with a mix of innovative startups, research-heavy scaleups, and established multinational corporations. The robotics landscape in London is diverse, encompassing everything from autonomous vehicles and industrial automation to advanced robotics in healthcare and human-robot interaction. Many roles in London are hybrid, offering the flexibility of remote work while still benefiting from the city's vibrant tech community and networking opportunities.

Salary on the board

£42k – £121k

Based on advertised midpoints across the 16 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
11% of listings advertise a salary.
By seniority
£k base
Senior
41
120
7 jobs
Live jobs

140 live roles

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Mechanical Design Engineer

As a Mechanical Design Engineer at Wayve, you will design and integrate mechanical solutions for sensors and compute systems on real-world vehicles, working closely with automotive partners. You will own the mechanical design trade-offs, develop test rigs and fixtures, and collaborate with cross-functional teams to ensure high-quality builds and successful integration.

Wayve London, United Kingdom
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Staff Software Engineer, Data Enrichment Platform

As a Staff Software Engineer for the Data Enrichment Platform, you will lead the technical vision and development of systems that process petabytes of driving data, support large GPU fleets, and improve model quality. You will work closely with model engineering, infrastructure, and data teams to build scalable, reliable, and self-service capabilities.

Wayve London, United Kingdom

Lead Firmware Engineer

This role involves developing low-level firmware for humanoid robots, focusing on real-time motion control, sensor integration, and communication systems. The engineer will lead firmware design and implementation, working closely with hardware teams to ensure robust performance and safety in dynamic environments. Emphasis is placed on optimization, debugging, and mentoring within a cutting-edge robotics context.

Humanoid London, United Kingdom
On-site Permanent

Senior Low-level Control Engineer - End-Effectors

This role involves designing and implementing low-level control systems for robotic end-effectors, including grippers and suction tools, with a focus on actuator and joint-level control, grasp behaviours, and transmission dynamics. The engineer will work hands-on with mechanical and hardware teams to shape actuation and sensing strategies, develop real-time C++ controllers in ROS2, and debug systems on physical hardware. Key challenges include managing compliance, friction, and underactuation across diverse transmission mechanisms.

Humanoid London, United Kingdom
On-site Permanent

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa
Hybrid Permanent Clearance Required

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers. Translate AI research into robust, real-world applications for defence and security environments. Work across the full development lifecycle, from research to deployment on cloud and edge platforms, in close collaboration with software engineers and researchers.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa
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Staff ML Performance Engineer (Inference Optimisation)

Optimise machine learning inference performance for edge accelerators and GPUs, focusing on efficient execution of large transformer models on low-power devices. Profile bottlenecks across the full stack—from model graph to kernel execution—and implement compiler, runtime, and kernel-level optimisations. Build benchmarking systems and collaborate with model teams to influence architecture for on-device efficiency.

Wayve London, United Kingdom
Hybrid Permanent
W

Staff SRE, AI Infrastructure

This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, focusing on the Model Development and GPU Compute environments. The engineer will define SRE frameworks, automation, and operational standards while ensuring resilient, efficient infrastructure for large-scale AI training and inference. The position bridges AI research, cloud infrastructure, and production operations, with a strong emphasis on observability, incident response, and platform ownership.

Wayve London, United Kingdom
On-site Permanent
The scene

Hiring in London

London's robotics sector is characterised by a dynamic mix of startups and established companies. Scaleups and research-heavy startups are particularly active, driving innovation in areas like autonomous vehicles and advanced manufacturing. The city's strong financial sector also provides ample funding for robotics projects.

The local tech community is highly collaborative, with frequent meetups and events that foster knowledge sharing and networking. This environment is ideal for professionals looking to stay at the forefront of robotics technology and connect with like-minded individuals.

Many companies in London offer hybrid work models, allowing robotics professionals to balance the benefits of on-site collaboration with the flexibility of remote work. This approach supports a healthy work-life balance while maintaining high levels of productivity and innovation.

FAQs

Common questions

  • Common roles include robotics engineers, software developers specialising in AI and machine learning, and experts in human-robot interaction. There are also opportunities in research and development, particularly in autonomous systems and industrial automation.

  • Many robotics jobs in London offer hybrid models, combining the benefits of on-site collaboration with the flexibility of remote work. However, some roles, especially those involving hands-on development, may require more on-site presence.

  • The finance and automotive industries are significant drivers of robotics innovation in London. Additionally, healthcare and manufacturing are rapidly adopting advanced robotics technologies to improve efficiency and safety.

  • London's tech community is highly supportive, with numerous meetups, hackathons, and networking events. There are also dedicated robotics hubs and innovation centres that provide resources and collaboration opportunities for professionals.

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