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
• Permanent

Owns the full lifecycle of data-rich tools, services and web applications, building scalable ingestion, processing and cleaning pipelines for structured and unstructured materials-science data. Develops Python APIs and UIs for querying, exporting and visualising data, with orchestration, governance and containerised deployment using Docker and Kubernetes.

Dagster · Flyte · Prefect +6

• Singapore
• Senior

Builds and applies advanced thermal, chemical and multiphase CAE models in Abaqus, ANSYS or COMSOL, coupling heat transfer with fluid, diffusion and electrostatic phenomena. Works directly with customers, often on-site, instrumenting physical processes to generate validation data and integrating models into AI tools. Combines shop-floor manufacturing experience with Python/Java automation and parametric CAD.

Abaqus · ANSYS Mechanical · ANSYS Fluent +4

• Redhill
• Director · manages people

Lead the company-wide Quality Management System across R&D, laboratories, pilot and volume manufacturing, supply chain and commercial partner activities. Focus on chemical and advanced materials processing, supplier quality, process capability and product release, supporting NPI, technology transfer and manufacturing scale-up while building a multi-disciplinary quality team.

Minitab · MES · ERP +1

• Harlow
• Entry level

Two-year graduate programme within the Research and Development function, rotating through four six-month placements covering synthesis, applications and analytical science. Involves designing and running laboratory experiments, analysing scientific and commercial data, and presenting recommendations to stakeholders while contributing to new products and intellectual property.

• Horsham
• On-site
• Senior
• Permanent

Serves as technical authority for electrochemistry and Electrical Impedance Spectroscopy across button cells, short stacks and full stack systems. Leads experimental design, equivalent-circuit and physics-based interpretation, degradation investigations and method development, mentoring scientists and shaping technical strategy. Bridges cutting-edge science with engineering to inform product direction.

Python

• Enfield
• Hybrid
• Entry level

Supports safe, reliable smelting operations through process engineering, leading improvement initiatives in process safety, automation and throughput. Develops process models, runs lab, pilot and plant-scale trials, and uses plant data and statistical analysis to reduce variability and resolve constraints. Collaborates with Operations, Engineering, EHS, Supply Chain and R&D teams.

• Sheffield
• On-site
• Mid-level · manages people
• Permanent

Leads the Product Conformity team managing stack and product certifications, technical construction files and regulatory documentation for global markets. Coordinates internal and external testing, hosts certification bodies, and performs final inspection of electrolyser products before dispatch as the voice of the customer. Works cross-functionally with engineering, quality, procurement, HSE and manufacturing to embed compliance across the product lifecycle.

ERP · MRP · Microsoft Office +5

• London
• Hybrid
• Entry level
• Permanent

Develop fast, accurate machine learning force fields distilled into lightweight student potentials for high-throughput Monte Carlo simulation, then integrate them into the in-house kUPS framework. The role involves curating training datasets, running validation campaigns against classical force-field baselines, and profiling the MC inner loop for throughput. Embedded in the chemistry team, with a publication on MLFF-driven GCMC for MOF screening.

kUPS · MLFFs · Equivariant Models +2

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Designs and builds agentic frameworks that orchestrate closed-loop scientific workflows, connecting agents to ML models, simulation engines and databases. Applies Bayesian optimization and active learning for experimental design, and builds evaluations for agent planning and decision-making. Works closely with chemists and materials scientists on customer projects.

PyTorch · JAX · LLM