Robotics Jobs

• Cambridge
• On-site
• £45,000 – £75,000 pa

Designs electro-optical camera systems—lenses, mirrors and sensors—and optimises them for VIS, NIR and FIR applications, running optical simulations in OpticStudio, selecting components and testing prototypes through to product release. Works fully on-site on AI hardware products using computer vision for monitoring and tracking, with military-related applications requiring security clearance.

OpticStudio

• Cambridge
• £35,000 – £45,000 pa
• Entry level

Graduate or junior engineers work across a defence product portfolio spanning ML systems, signal processing and software defined radio, from cloud platforms down to low-power electronics. No specific language is required; versatile problem-solvers with strong knowledge of at least one programming language are sought, with mentorship in a small growing team.

UAV · Drones

• Butterrow
• £55,000 – £65,000 pa
• Mid-level

Design and build embedded software, data pipelines and machine learning systems for advanced sensing and communications technology. Work spans real-time C/C++ firmware, communication protocols, MLOps with CI/CD and model monitoring, generative AI/LLM systems including RAG and fine-tuning, and Spark/dbt ETL pipelines feeding IoT data services. Joining a small team owning the full SDLC from clean-sheet design to live deployment.

Spark · dbt · CI/CD +1

• Brentford
• On-site
• £70,000 – £95,000 pa
• Senior
• Permanent

Hands-on role designing and deploying production-grade computer vision systems using CNNs and Vision Transformers, spanning model architecture, training pipelines and optimisation for cloud and edge. You'll translate recent AI research into reliable products for defence and security, collaborating with engineers, researchers and customers.

PyTorch · TensorFlow · Git +6

• Oxfordshire
• Hybrid
• £60,000 – £94,000 pa
• Senior

Lead technical role developing computer vision, perception and autonomous navigation technologies across the full lifecycle, from algorithm design and subsystem architecture to verification, testing and deployment. Work covers object detection, tracking, 6DoF pose estimation, LiDAR and camera integration, HIL testing and embedded/flight software, with mentoring of less experienced engineers.

OpenCV · TensorFlow · PyTorch +5

• London
• Hybrid
• Permanent

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, tackling road geometry, spatial relationships, road users and driving behaviour. Works with internal customers to define attributes and acceptance criteria, designs annotation tasks, and integrates classifiers with enrichment infrastructure for corpus analysis and scenario mining.

PyTorch · SQL · World Foundation Model

• London
• On-site
• £50,733 – £59,484 pa
• Entry level
• Contract

Lead research on dexterous, high-DoF manipulation policies and robot foundation models such as vision-language-action models, learned from human demonstrations. Work with a state-of-the-art platform of Sharpa Wave dexterous hands and UR7e arms, developing novel algorithms and deploying learned policies on real hardware. Collaborate with experts in robotics, computer vision and machine learning, targeting top-tier conferences.

PyTorch · ROS · Sharpa Wave +1

• London
• £90,000 – £110,000 pa
• Senior

Designs and optimises multi-threaded C++ pipelines for image processing, computer vision and rendering, tuning algorithms for spatial analysis, sensor alignment and scene reconstruction. Uses parallel computing and GPU acceleration to hit strict performance targets, builds cross-platform production software, influences architecture and joins a support rota.

C++17 · Git · CMake +5

• Cambridge
• £50,000 – £80,000 pa

Develops intelligent embedded systems using Python, C and C++, applying machine learning and computer vision to real-world products. Works with microcontrollers, sensors and connected hardware, designing software architectures and delivering production code while collaborating directly with clients from concept to finished product.

TensorFlow · TensorFlow Lite · OpenCV +1

• London
• Hybrid
• Senior · manages people
• Permanent

Owns the technical vision and architecture for a platform that lets model engineers deploy, run, evaluate and improve ML models over petabytes of driving data on large GPU fleets. Combines hands-on backend engineering in Python with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Flyte · Airflow · Dagster +6

• London
• On-site
• Lead · manages people
• Permanent

Leads Humanoid's AI research and engineering function as a player-coach, spending at least half of the first year on direct technical work: designing Transformer-based models and experiments, reviewing code, inspecting data, debugging training, and examining robot rollouts. Owns the research roadmap, data strategy, and offline/real-world evaluation systems, and builds a small team of researchers and engineers.

PyTorch · ROS 2 · Vision Transformers +5

• Crewe
• On-site
• Senior
• Permanent

Hands-on senior engineering role owning software architecture, AWS cloud infrastructure and computational modelling for autonomous agricultural machinery. Involves building backend services, APIs and data tools, plus simulation and Digital Twin work validated against real machines, collaborating with mechanical, electronics and robotics engineers.

AWS · Linux · Docker +6

• Nuremberg, Germany
• Senior
• Permanent

The role is a W3 professorship in Mechatronics & Robotics at a new German technical university, with the expectation of serving as Founding Chair for a soon-to-be-founded department. The post combines research, teaching (largely in English) and interdisciplinary collaboration within a lean, AI-focused institution.

• Colorado
• £160,000 – £220,000 pa
• Lead

Owns the electrical architecture and reliability of autonomous robots, leading electronics hardware design and embedded systems development across the full product lifecycle. Hands-on work spans analogue/digital circuit design, PCB and schematic capture, power electronics, motor drives and battery management, plus board bring-up, debugging and EMC/EMI compliance.

SPI · I2C · USB +5

• Reading
• £22,905 pa
• Entry level
• Contract

A Leverhulme Trust-funded PhD studentship exploring how intelligence can emerge from interactions between hydrogel networks, a soft robotic body and its environment. The researcher will fabricate hydrogels, run bioelectrical measurements and connect physical experiments to artificial neural networks, working across materials science and biomedical engineering.

Artificial Neural Networks