Materials Science Jobs

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Builds and grows a global network of partner laboratories that synthesise materials designed with the company's AI platform, working with the Lab Integration team to enable automated, closed-loop discovery workflows. Acts as the operational bridge between partnership, science and AI research teams across Europe, the USA and APAC, and channels lab feedback into platform development priorities.

Robotics · Commercial Laboratory Automation Systems

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the software layer connecting an AI materials-discovery platform to partner laboratories worldwide. Designs APIs and data models for lab-to-cloud exchange, integrates instruments, robotic platforms and LIMS/ELN systems, and hardens integrations with retries, queueing and monitoring. Works in a small multidisciplinary team of materials scientists, ML and software engineers.

FastAPI · Pydantic · LIMS +5

• Lancaster
• £33,002 – £37,694 pa

Support a collaborative materials science project developing materials for sustainable agriculture, using preparation, characterisation and in vitro biological testing to study how material properties affect plant interactions. The post sits in a rapidly expanding chemistry department with state-of-the-art labs, and involves prototype validation, biological testing and implementing safe systems in a chemistry laboratory.

• Cambridge
• On-site
• Director · manages people
• Permanent

Lead the packaging function for GaN power semiconductors, shaping strategy while remaining hands-on with wirebond, flip chip and embedded package design. The role involves multiphysics simulation, supplier development, qualification testing and cross-functional collaboration with chip design, applications and operations teams, plus international travel to subcontractors.

GaN

• Cambridge
• Hybrid · 3 days in office
• Permanent

Owns scientific delivery of partner projects from scoping to results, acting as a key technical contact alongside programme managers. Applies simulation, machine learning, data-driven optimisation or experiments to design and steer discovery campaigns, and translates between experimental, computational and ML teams. Also builds cross-cutting capabilities such as validated workflows, harmonised data pipelines and agentic design campaigns.

Git

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Owns a set of partner labs and their integration onto an AI materials-discovery platform, translating experimental workflows, instruments and LIMS/ELN data into engineering requirements. Leads technical discovery and onboarding through to first closed-loop campaigns, and works with ML researchers on Bayesian optimisation campaigns that respect real lab constraints.

Python · LIMS · ELN +3