Latest Manufacturing Jobs

Staff Backend Software Engineer - GO & Python

Build and maintain a high-performance backend platform for AI-driven, multi-physics simulation used by data and simulation engineers. Work on scalable, observable systems in Python and Go, with ownership from development to production. Collaborate closely with domain experts in engineering and machine learning to enable physics-informed model deployment across aerospace, energy, and advanced manufacturing sectors.

PhysicsX London, United Kingdom

IT Lead Engineer

This role involves owning and evolving a high-performance computing (HPC) infrastructure to support CPU/GPU-intensive physics simulations, with a focus on performance tuning, job scheduling, and capacity planning. The IT Lead Engineer will also mentor junior staff, automate IT processes, and act as the escalation point for complex technical issues across HPC, developer tooling, and general IT. The position operates in a high-ownership environment within a deep-tech scale-up, requiring strong Linux, networking, and zero-trust security expertise alongside an automation-first mindset.

PhysicsX London, United Kingdom

Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using technologies like PyTorch, Kubeflow, and fastAPI. Frequent international travel is required for on-site collaboration.

PhysicsX United Kingdom

Hybrid Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating them with AI-driven simulation workflows. The engineer will work end-to-end on multi-physics simulations, from geometry and meshing to solver development and validation against experimental data. A key focus is automating and scaling CFD workflows to enable design optimisation and support machine learning pipelines in collaboration with clients across advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multi-physics simulation models, particularly in multiphase CFD and coupled CFD-DEM, to support AI-driven engineering solutions. The engineer will work directly with customers across industries like aerospace, energy, and automotive to build and validate complex simulations, automate workflows, and generate data for machine learning. Key responsibilities include geometry processing, meshing, simulation, and optimisation using tools like Star-CCM+, OpenFOAM, or Fluent, alongside Python scripting and parametric CAD integration.

PhysicsX London, United Kingdom

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

Delivery Engineer - Aerospace & Defense

Lead business development and delivery projects for an AI-driven simulation platform within the aerospace and defense sector. Engage with senior engineering and manufacturing leaders to identify opportunities, scope technical proposals, and drive customer adoption. Shape product direction through direct customer feedback and represent the company at industry events, balancing strategic relationship management with hands-on project execution.

PhysicsX England US$175,000 – US$250,000 pa

Hybrid Permanent Clearance Required

Content & Communications Strategist

This role involves crafting and delivering compelling narratives that translate complex technical work in AI and engineering into accessible content for diverse audiences. You'll shape the company's voice across digital platforms, events, and internal communications, collaborating closely with engineers and leadership to build credibility and support talent acquisition. Success requires blending storytelling skill with technical fluency in a fast-paced, high-impact environment.

PhysicsX London, United Kingdom

Hybrid Permanent

Data Scientist

This role involves transforming cutting-edge AI models into practical tools for engineering decision-making by developing deep learning and predictive models, building scalable data pipelines, and working directly with customers on-site. The Data Scientist will preprocess and analyze complex data, integrate models with physics-based simulations, and contribute to product development in a high-impact AI-native engineering environment. Collaboration with simulation engineers and hands-on deployment in production environments are central to the role.

PhysicsX London, United Kingdom

Hybrid Permanent

Research Program Manager

The Research Program Manager will operationalize and coordinate high-impact research initiatives at a deep-tech AI company, translating ambitious scientific goals into structured programs. This role ensures alignment across research, product, and engineering teams, manages delivery cadence, and supports external collaborations—enabling scientists to focus on innovation while maintaining strategic coherence. The position is central to scaling research operations in a fast-growing, interdisciplinary environment.

PhysicsX London, United Kingdom

Forward Deployed Software Engineer

Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate with customers on-site and remotely to develop, prototype, and iterate tools that solve complex engineering challenges across aerospace, energy, and manufacturing. Work across backend services, APIs, and cloud infrastructure while contributing to core platform development and shaping product direction based on cross-industry use cases.

PhysicsX London, United Kingdom

Senior Simulation Engineer - Electromagnetics Specialist

Develops high-fidelity electromagnetic simulations across low- and high-frequency domains, focusing on semiconductor, aerospace, and automotive applications. Builds and validates complex EM models, automates simulation workflows, and collaborates with data science teams to train AI surrogates. Works on-site with customers to solve engineering challenges using advanced simulation and AI-driven tools.

PhysicsX North Tyneside, NE29 8EP, United Kingdom

Research Scientist - Material Modelling

This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems for real-world materials science challenges. The Research Scientist will work on high-fidelity, multi-physics simulations using state-of-the-art ML frameworks, run large-scale experiments on chemistry and materials datasets, and collaborate across disciplines to translate research into production-ready pipelines. The position operates in a high-performance computing environment and emphasizes publication, mentorship, and cross-functional communication.

PhysicsX London, United Kingdom

Hybrid Permanent

Senior CFD Engineer - Plasma Specialist

You will develop high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, working directly with customers on-site to solve niche engineering challenges. You'll integrate simulations with AI workflows using tools like COMSOL and CFD-ACE+, validate models against real-world data, and collaborate with data scientists and ML engineers. The role involves global travel and combines technical leadership with mentoring junior colleagues.

PhysicsX London, United Kingdom

Hybrid Permanent