Jobs in Woking

Johnson Matthey UK LEAD Graduate Rotational Programme - 2027 cohort

This role involves a 2.5-year rotational programme across Science, Commercial, and Operations functions, providing hands-on experience in business-critical projects focused on sustainability, innovation, and operational excellence. Graduates will develop leadership capabilities through structured training, global collaboration, and exposure to senior stakeholders. The programme is designed to build broad business understanding and technical expertise within a world-leading sustainable technology company.

Johnson Matthey London, EN2 6LD, United Kingdom

Johnson Matthey UK LEAD Graduate Rotational Programme - 2027 cohort

This graduate rotational programme involves three 10-month placements across Science, Commercial, and Operations functions within Johnson Matthey over 2.5 years. You'll work on business-critical projects focused on sustainability, innovation, and operational excellence, while developing leadership skills through structured training and global collaboration. The role is designed to build a broad understanding of the business and prepare high-potential graduates for future leadership roles.

Johnson Matthey London, United Kingdom

Principal Machine Learning Infrastructure Engineer

This role involves building and operating scalable machine learning infrastructure for training and serving large physics models, with a focus on distributed systems, high-performance computing, and efficient data pipelines. The engineer will work closely with research scientists and ML engineers to optimize training workflows on NVIDIA DGX hardware, improve data I/O for mesh-based datasets, and develop reliable model serving solutions for customer deployment. A strong systems background and experience with GPU clusters, PyTorch, and Kubernetes are central to the position.

PhysicsX London, United Kingdom

CFD Engineer

This role involves building and running high-fidelity CFD simulations, from geometry preparation to post-processing, to support AI-driven engineering solutions. You'll work closely with data scientists to generate datasets for machine learning models, automate simulation workflows, and support customer projects across aerospace, energy, and advanced manufacturing. The position blends hands-on CAE engineering with exposure to AI integration and cloud-based simulation platforms.

PhysicsX London, United Kingdom

CFD Engineer

This role involves building and running high-fidelity CFD simulations from geometry cleanup to post-processing, supporting AI-driven engineering solutions. You'll work closely with data science teams to generate datasets for machine learning models, automate simulation workflows, and engage with customers to deliver practical engineering insights. The position blends hands-on simulation work with integration into cloud and AI platforms, with opportunities to grow into technical leadership.

PhysicsX United Kingdom

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and cross-functional teams to solve complex engineering challenges. Focus on building reliable data pipelines, processing 3D point-cloud and mesh data, and translating research into production-grade tools using modern MLOps practices.

PhysicsX United Kingdom US$150,000 – US$190,000 pa

Remote Permanent

Principal Data Scientist / Algorithm Engineer

This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing. The principal data scientist will lead technical initiatives, design deep learning and optimization models, and work directly with customers to integrate AI into physical systems. Responsibilities include mentoring team members, building scalable data pipelines, and driving R&D to refine simulation technologies across industries like aerospace, energy, and semiconductors.

PhysicsX United Kingdom

Hybrid Permanent

Principal CFD Engineer

This role involves building and validating high-fidelity computational fluid dynamics (CFD) and multi-physics simulations for real-world engineering challenges across aerospace, energy, automotive, and other advanced industries. The engineer will work at the intersection of CAE and AI, creating automated simulation workflows, generating datasets for machine learning models, and collaborating directly with customers on-site to integrate simulation into design and optimization processes. A strong emphasis is placed on mentoring, technical leadership, and improving engineering practices to support AI-driven surrogate modelling.

PhysicsX United Kingdom

On-site Permanent

Principal Machine Learning Engineer

Develop and deploy AI-driven simulation models for engineering and physics challenges across industries like aerospace, energy, and semiconductors. Work hands-on with 3D data, ML pipelines, and customer integration, translating R&D into production systems. Lead technical projects, mentor teams, and travel globally to co-develop solutions on-site.

PhysicsX United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying full-stack applications that integrate AI-driven physics simulation models to solve complex engineering challenges for customers in industries like aerospace, energy, and semiconductors. You'll collaborate with data scientists, ML engineers, and customers to design, prototype, and iterate tools that transform engineering workflows. The work spans backend development, API design, cloud deployment, and distilling cross-industry solutions into reusable platform features.

PhysicsX United Kingdom

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working directly with customers across industries like aerospace, energy, and semiconductors. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites to co-develop solutions. The engineer operates at the intersection of data science and software engineering, turning R&D into robust, reusable tools.

PhysicsX London, United Kingdom

Senior Software Security Developer – Core Platform Services

This role involves designing and implementing security features for a core platform, with a strong focus on authentication, secure coding practices, and threat modeling. The developer will act as a security SME, mentoring teams, conducting code reviews, and helping shape incident response workflows. Working within a high-caliber engineering team, they will build secure, scalable components used across an AI-driven simulation software stack for advanced industries.

PhysicsX London, United Kingdom

Content & Communications Strategist

This role involves crafting compelling narratives from complex technical work in AI and engineering simulation, shaping the public voice of a deep-tech company. You'll lead content strategy across digital channels, collaborate with engineers and leadership, and produce high-quality content including blogs, social media, and event materials. The position emphasizes storytelling, brand consistency, and strategic communication in a fast-paced, innovative environment.

PhysicsX London, United Kingdom

Hybrid Permanent

Applied Scientist - All Levels

This role involves developing physical foundation models using machine learning to solve complex engineering and physics problems. You will translate real-world challenges into mathematical formulations, build scalable models for high-dimensional data, and collaborate with engineers and customers to deliver AI-driven simulation solutions. The position emphasizes research ownership, publication, and innovation in domains like aerospace, energy, and semiconductors.

PhysicsX United Kingdom

Hybrid Permanent

Senior Applied Engineer

Develop and scale physical foundation models by bridging research and engineering, transforming prototypes into robust AI-driven simulation systems for real-world physics problems. Work across distributed computing and cloud infrastructure to optimise large-scale model training and deployment. Collaborate closely with scientists, engineers, and industry partners to deliver reusable tools and products with tangible impact in engineering and manufacturing.

PhysicsX United Kingdom

Hybrid Permanent