Latest PhysicsX 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

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI technologies, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable generative AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business needs into technical strategies across enterprise and industry-specific use cases.

NVIDIA

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable Agentic AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business challenges into technical AI solutions across enterprise environments.

NVIDIA

Member of Technical Staff, Applied AI

Develop and deploy generative AI models in customer environments within the biotech and pharmaceutical sectors. Collaborate with interdisciplinary teams to adapt and optimise proprietary models, build production-grade API integrations, and deliver scientific value through technical deployment and customer engagement. Focus on performance, reliability, and translating research into real-world applications.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Anthropic Fellows Program, ML Systems & Reinforcement Learning

This role involves a 4-month, full-time research fellowship focused on ML systems and performance, with mentorship from Anthropic researchers. Fellows will work on empirical projects using external infrastructure to build scalable ML systems, debug training processes, and support high-performance computing environments. The program emphasizes collaboration, rapid implementation, and producing public research outputs such as papers.

Anthropic United Kingdom

Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)

Engage in empirical research on AI's economic and societal impacts, supported by mentorship from Anthropic researchers. Work on a project using external data and tools to produce a public output such as a paper, with opportunities to contribute to policy-relevant insights. Collaborate within a multidisciplinary team focused on AI safety and societal resilience.

Anthropic United Kingdom

Hybrid Temporary

Sr. Manager, Data Science , GBR)

Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral threat analysis, and AI-driven security automation. Translate business needs into technical research objectives and collaborate across security, engineering, and product teams to deliver production ML systems at scale. Work on high-impact problems involving reverse engineering, decompilation, and adversarial dynamics within a platform processing trillions of daily events.

CrowdStrike

Remote

Research Scientist (Machine Learning), London

A Research Scientist in machine learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent