Jobs in London

Applied Scientist - All Levels

Join a new Singapore research team building physical foundation models for industrial engineering, translating physics and simulation challenges into mathematical formulations. You will train deep learning and probabilistic models on large spatiotemporal, geometric and point-cloud datasets, run experiment pipelines, and publish and present results with customers and partners.

PhysicsX Singapore

Hybrid

Principal CFD Engineer

Deliver high-fidelity multi-physics CFD simulations for industrial customers, from geometry clean-up and meshing to post-processing and validation against experimental data. Build parametric CAD models and automate simulation pipelines for design optimisation and DoE studies, generating datasets for machine learning surrogates. Work alongside data scientists and ML engineers, mentor junior colleagues, and travel globally up to 2-3 weeks per quarter to work on-site with customers.

PhysicsX Singapore

Research Engineer (Materials Foundation Models)

Trains and evaluates multi-modal foundation models for a materials discovery platform, spanning crystal structures, properties, text and images. Owns a model end to end, from data curation and experiment design through large-scale distributed training to integration, working closely with chemists and materials scientists.

CuspAI Cambridge

Hybrid Permanent

Applied AI/ML Engineer (Agents)

Designs and builds agentic frameworks that orchestrate closed-loop scientific workflows, connecting agents to ML models, simulation engines and databases. Applies Bayesian optimization and active learning for experimental design, and builds evaluations for agent planning and decision-making. Works closely with chemists and materials scientists on customer projects.

CuspAI Cambridge

Hybrid Permanent

Principal Data Scientist / Algorithm Engineer

Lead technical delivery of physics AI solutions, architecting deep learning models and optimisation methods to predict and control physical systems. Work closely with simulation engineers and customers, building scalable production data pipelines and mentoring junior team members. Requires frequent travel to customer sites across multiple regions.

PhysicsX Singapore

Principal Machine Learning Engineer

Lead the deployment of ML models and engineering surrogates—deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, and optimization—into customer production environments. Own scoping, architecture, and success metrics for data/ML systems built with Python, PyTorch, Pandas, fastAPI, Scipy, and Kubeflow across cloud and on-prem. Mentor engineers and data scientists while travelling 3-4 weeks per quarter to customer sites worldwide.

PhysicsX Singapore

Senior Applied Engineer

Build physical foundation models for industrial engineering, scaling training to large datasets on multi-GPU cloud compute. Turn research prototypes into robust, optimised implementations, own research workstreams, and translate results into reusable libraries and tooling alongside scientists and customers.

PhysicsX Singapore

Hybrid

Senior Forward Deployed Software Engineer

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, RESTful APIs in Python (FastAPI), microservices and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure. Spans the full stack across complex engineering domains.

PhysicsX Singapore

Senior Forward Deployed Software Engineer

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.

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

Hybrid Clearance Required

CFD Engineer

Builds high-fidelity CFD models from geometry clean-up and meshing through simulation and post-processing, using tools like Star-CCM+, OpenFOAM or Fluent. Works at the intersection of CAE and data science, generating simulation datasets for machine learning surrogates and running jobs on cloud and on-premise HPC. Customer-facing delivery role in a founding-stage NYC team, with occasional international travel.

PhysicsX New York, United States

Hybrid

Content & Communications Strategist

Owns the editorial calendar and writes blog posts, web pages, thought leadership, scripts and event materials, translating deep technical work into clear narratives. Leads LinkedIn and Instagram, supports executive and technical speaking engagements, and partners with engineers, designers and external agencies on video and joint content.

PhysicsX London

Hybrid

Forward Deployed Software Engineer

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, RESTful APIs in Python (FastAPI), microservices and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus 3-4 weeks of travel per quarter to customer sites.

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

Clearance Required

Machine Learning Engineer

Builds and deploys machine learning pipelines for industrial physics applications, working directly with customers on-site to embed AI models into practical tools. Involves manipulating 3D point-cloud and mesh data, cloud and HPC infrastructure, and translating R&D outputs into reusable libraries and products.

PhysicsX San Francisco, United States US$150,000 – US$190,000 pa

Hybrid

Machine Learning Engineer

Builds and deploys machine learning pipelines for industrial physics applications, working directly with customers on-site to embed AI models into practical tools. Involves manipulating 3D point-cloud and mesh data, cloud analytics environments, and translating R&D outputs into reusable libraries and products. Travels to customer sites roughly 3-4 weeks per quarter.

PhysicsX New York, United States US$150,000 – US$190,000 pa

Hybrid

Security Engineer – DevSecOps and Security Architect

Partners with engineering teams to embed security into CI/CD pipelines, lead threat modeling and secure design reviews for web apps, APIs and cloud services, and manage the product vulnerability lifecycle. Requires deep DevSecOps and application security expertise, with hands-on Python and Go development and SAST tooling.

PhysicsX New York, United States US$200,000 – US$300,000 pa

Hybrid