Latest AI in Healthcare Jobs

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

Machine Learning Engineer

A Machine Learning Engineer will work at the intersection of data science and software engineering to develop and deploy AI-driven simulation tools for engineering and manufacturing. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable software products. Frequent customer collaboration and international travel are key aspects of the role.

PhysicsX England US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

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 practices. The engineer will directly support development teams through hands-on mentorship, vulnerability management, and customer-facing security reviews. The position operates at the intersection of DevSecOps and architecture, shaping security strategy in a high-impact, AI-driven engineering environment.

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

Hybrid Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying AI-driven simulation applications for engineering and manufacturing clients, working closely with data scientists and customers to solve complex technical problems. The engineer will design full-stack solutions, develop APIs to serve physics models, and iterate on prototypes based on user feedback. Frequent travel (3–4 weeks per quarter) to customer sites globally is required to implement and refine tools on-site.

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 to client sites to implement solutions on-site. The position focuses on translating research into practical, high-impact tools using Python, PyTorch, and cloud/on-prem infrastructure.

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

Hybrid Permanent Clearance Required

Data Scientist

A Data Scientist in the Delivery team will work directly with customers and engineering teams to transform AI models into practical tools for solving complex physics and engineering challenges. The role involves preprocessing data, building deep learning models, and deploying scalable data pipelines integrated with simulation systems. Frequent travel and on-site collaboration with clients across multiple industries are key aspects of the position.

PhysicsX United Kingdom US$120,000 – US$240,000 pa

Delivery Engineer

This role involves partnering with customers to implement AI-driven simulation solutions, translating engineering challenges into product opportunities. The Delivery Engineer acts as a technical liaison, guiding onboarding, managing delivery teams, and identifying new use cases. It combines customer engagement with deep technical understanding of AI and physics-based systems.

PhysicsX United Kingdom

CFD Multiphase & DEM Engineer

Develop high-fidelity multiphase CFD models for industrial applications in bioprocess, chemical, and advanced engineering systems. Integrate simulations with AI workflows, validate against experimental data, and support customer-driven engineering challenges. Work across the full simulation lifecycle—from CAD and meshing to HPC execution and surrogate modelling.

PhysicsX United Kingdom

Hybrid Permanent

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 a high-performing deployment engineering team. The role combines hands-on technical leadership in complex, regulated infrastructure with strategic customer engagement and cross-functional coordination to ensure successful, secure, and scalable platform rollouts.

PhysicsX England

Hybrid Permanent Clearance Required

CFD Multiphase & DEM Engineer

This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications, integrating them with AI-driven workflows. The engineer will work directly with global customers to solve complex engineering problems, automate simulation pipelines, and generate datasets for machine learning surrogates. The position blends advanced simulation, parametric CAD, and data science in a hybrid London-based setup with regular international travel.

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

Senior CFD Engineer - Plasma Specialist

This role involves developing high-fidelity computational plasma models for semiconductor manufacturing processes such as plasma etching, CVD/ALD deposition, and ion-driven surface interactions. The engineer will work directly with semiconductor customers—often on-site—to define challenges, design simulation strategies, and integrate models into AI-powered workflows. Collaboration with data scientists and ML engineers is central, with a focus on delivering practical, real-world engineering solutions using tools like COMSOL, HPEM, and CFD-ACE+.

PhysicsX London, United Kingdom

Hybrid Permanent

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives within a deep-tech environment, focusing on scalable AI-driven simulation for engineering and physics problems. The engineer will guide technical direction, mentor junior staff, and translate research into robust, production-grade software. Key responsibilities include designing distributed training systems, optimising foundation models, and collaborating across research and engineering teams to deliver high-impact solutions.

PhysicsX London, United Kingdom

On-site 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

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