Materials Science Jobs in London

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Queen Mary University of London · London · £52,790 – £73,271 pa

Deliver undergraduate materials and polymer science education for a joint UK-China engineering school, with a focus on curriculum development, novel pedagogies and inclusive teaching. The post is based in London but involves extensive travel to Xi'an, China for substantial periods, supporting transnational education programmes.

Johnson Matthey · Royston · £43,765 – £60,345 pa

This role involves maintaining and improving electrical and instrumentation systems in a manufacturing environment, focusing on fault diagnosis, plant reliability, and compliance. Technicians will use technical drawings and SAP CMMS for maintenance records, conduct inspections, testing, and calibration, and support safe, efficient plant operations. The position requires hands-on problem-solving in a regulated industrial setting.

Johnson Matthey · Enfield · £44,113 – £60,345 pa

Maintain and improve electrical and instrumentation systems in a manufacturing environment, ensuring plant reliability and regulatory compliance. Perform fault diagnosis using technical drawings and schematics, conduct testing and calibration, and contribute to maintenance improvements. Work on-site with a focus on safety and engineering efficiency.

PhysicsX · New York, United States · US$240,000 – US$300,000 pa

Leads regional deployment engineering for a physics AI platform, owning end-to-end delivery into customer-owned infrastructure and acting as primary technical contact for CIOs and CTOs. Combines executive engagement with hands-on work on Kubernetes, cloud and infrastructure-as-code deployments, while hiring and scaling the regional team. Requires navigating regulated, high-security and on-prem/HPC environments.

PhysicsX · New York, United States · US$150,000 – US$250,000 pa

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, backend development of FastAPI microservices in Python, and cloud deployment with Kubernetes, Terraform and AWS/Azure. Requires travel to customer sites for 3-4 weeks per quarter.

ITM Power · Sheffield

Working within the stack design and verification team, you will develop and execute verification and validation plans for full-scale PEM electrolyser stacks and clamping skid frame systems. The role covers mechanical, hydraulic and thermal test programmes, prototype assembly and commissioning, plus data analysis using MATLAB or Python and reporting to internal engineering teams.

ITM Power · Sheffield

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.

TÜV Rheinland Group · Derby

Lead and deliver metallurgical failure examinations, including laboratory work, site investigations and formal technical reporting, for conventional power and clean energy clients. The role involves scheduling failures, mentoring less experienced investigators, managing larger project-based investigations, and developing proposals and client relationships.

synthomer · Harlow

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.

CuspAI · London

Bridges frontier AI models and high-performance computing infrastructure by profiling large-scale training runs to improve Model FLOP Utilization and remove bottlenecks. Builds observability dashboards, optimizes NVIDIA GPU kernels and NCCL communication, and applies quantization, pruning and distillation to cut inference latency. Works closely with AI researchers and the infrastructure team on future cluster design.

CuspAI · London

Owns the design of scientific data representations, schemas and ingestion pipelines that turn heterogeneous external materials data into ML-ready assets. Works with AI researchers and materials scientists to harmonise experimental and computational data from partners, defining quality, validation, lineage and provenance frameworks.