Latest Aerospace Jobs

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 problems for clients across aerospace, energy, automotive, and other advanced industries. You'll work closely with customers on-site and collaborate with data scientists and engineers to design, prototype, and iterate tools that transform engineering workflows. The position emphasizes end-to-end ownership, rapid development, and translating real-world engineering challenges into impactful software solutions using modern cloud-native technologies.

PhysicsX England US$150,000 – US$250,000 pa

Hybrid Permanent

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 closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

W

Principal Engineer, Data & Compute

Design and lead the evolution of large-scale AI infrastructure for training and inference workloads across thousands of GPUs and petabyte-scale data systems. Enable seamless cross-region execution and data federation while guiding technical strategy and mentoring engineering teams in a high-performance environment focused on embodied AI for autonomous driving.

Wayve United Kingdom US$370,300 – US$418,200 pa

Hybrid Permanent

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives in a high-performance computing environment, focusing on scalable AI models for multi-physics simulation in engineering and science. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, mentoring junior staff, and shaping technical strategy. Work spans cloud and on-premise infrastructure with a strong emphasis on MLOps, software engineering best practices, and real-world deployment across advanced industries.

PhysicsX London, United Kingdom

On-site Permanent

Principal Security Engineer – DevSecOps and Security Architect

This role involves leading security initiatives across the software development lifecycle, with a focus on integrating security into CI/CD pipelines, conducting threat modeling, and guiding secure design for web applications, APIs, and cloud services. The Principal Security Engineer will establish secure coding standards, mentor engineering teams, and manage the product vulnerability lifecycle. The position operates in a high-impact, collaborative environment shaping security for an AI-driven simulation platform in advanced engineering sectors.

PhysicsX United Kingdom US$200,000 – US$300,000 pa

Hybrid Permanent

Staff Backend Software Engineer - GO & Python

Build and maintain a platform for Data Scientists and Simulation Engineers to develop and deploy physics-informed AI models. Work on scalable backend systems using Python and Go, with full ownership from implementation to production. Collaborate closely with cross-functional teams and leverage domain expertise to shape engineering practices in a high-performance, event-driven environment.

PhysicsX London, United Kingdom

Deployment Lead

Lead end-to-end deployment of a Kubernetes-based AI simulation platform into customer environments, serving as the primary technical liaison for C-suite stakeholders while building and scaling regional deployment teams. The role combines hands-on infrastructure leadership with executive engagement, ensuring deployments meet technical, security, and compliance standards in highly regulated industries such as aerospace, energy, and semiconductors.

PhysicsX England

Hybrid Permanent Clearance Required

CFD Multiphase & DEM Engineer

Develop and validate high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating with AI-driven simulation workflows. Work across the full simulation lifecycle—from CAD and meshing to solver development, HPC execution, and experimental validation—while collaborating directly with clients to solve complex engineering challenges. Focus on scalable automation, surrogate modelling, and data pipelines to enable AI-enhanced design optimisation.

PhysicsX United Kingdom

Hybrid Permanent

CFD Multiphase & DEM Engineer

This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications across aerospace, energy, and manufacturing. The engineer will work directly with customers to build automated, scalable simulation workflows integrated with AI-driven surrogate models, using tools like Star-CCM+, OpenFOAM, or Fluent alongside Python and parametric CAD. Emphasis is placed on smart sampling, model validation, and mentoring within a collaborative, high-performance engineering culture.

PhysicsX London, United Kingdom

Principal Machine Learning Infrastructure Engineer

This role focuses on designing and operating scalable machine learning infrastructure for training and serving large physics-based models. You'll work closely with research scientists and ML engineers to optimize distributed training pipelines, improve data I/O performance, and build reliable model serving systems. The position emphasizes systems-level problem-solving, infrastructure automation, and enabling fast, reproducible experimentation on high-performance GPU clusters.

PhysicsX London, United Kingdom

CFD Engineer

The role involves building and refining high-fidelity CFD models from geometry cleanup to post-processing, supporting AI-driven simulation workflows for diverse engineering applications. You'll work closely with data scientists and customers to generate simulation datasets, automate pipelines using CAD and Python, and contribute to scalable, ML-integrated CAE solutions. The position emphasizes hands-on technical delivery, collaboration, and growing autonomy in a startup environment with hybrid working in London.

PhysicsX London, United Kingdom

Research Scientist - Large Geometry Models

This role involves owning a research work-stream focused on 3D geometry representation and generation, designing and training generative models, and working with ML and simulation engineers to solve complex engineering challenges. The position requires a PhD in a relevant field and expertise in generative models, geometric deep learning, and 3D vision.

PhysicsX London, United Kingdom

Content & Communications Strategist

This role involves crafting compelling, technically grounded narratives for a deep-tech AI simulation company, translating complex engineering concepts into accessible content across blogs, social media, events, and internal channels. You'll shape the company's public voice, collaborate closely with engineers and leadership, and build a scalable content operation while maintaining high creative and editorial standards.

PhysicsX London, United Kingdom

Hybrid Permanent

Forward Deployed Software Engineer

Design and build end-to-end applications that integrate AI-driven physics models into real-world engineering workflows. Collaborate with customers and technical teams to prototype, deploy, and iterate tools that solve complex engineering challenges across industries like aerospace, energy, and semiconductors. Work across the full stack with a focus on backend services, cloud infrastructure, and customer-driven product development.

PhysicsX North Tyneside, NE29 8EP, United Kingdom US$150,000 – US$250,000 pa

Senior CFD Engineer - Plasma Specialist

This role involves developing high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, integrating them with AI-driven simulation tools. The engineer will work directly with customers on-site, validate models against real-world data, and collaborate with data science and ML teams to deliver actionable engineering solutions. The position emphasizes technical ownership, cross-functional collaboration, and global travel to support customer implementations.

PhysicsX London, United Kingdom

Hybrid Permanent