Latest PhysicsX Jobs

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

Machine Learning Engineer

This role involves deploying machine learning models and engineering surrogates—such as deep learning on CAE/CFD/FEA data, time-series forecasting, and anomaly detection—into customer production environments. The engineer will work closely with data scientists, simulation engineers, and clients across aerospace, energy, semiconductors, and automotive industries to build scalable, geometry-aware ML systems using 3D point-cloud and mesh data. Key responsibilities include designing robust training and inference pipelines, mentoring junior staff, and traveling to customer sites globally to implement AI-driven simulation solutions on-site.

PhysicsX United Kingdom

On-site Permanent

Senior Solutions Architect, Consulting Partners

This role involves enabling Global Systems Integrator and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and implement complex AI agent workflows, support the development of RAG pipelines, and collaborate with technical teams across partners and NVIDIA to deliver full-stack AI solutions. Key responsibilities include building demos, evangelizing accelerated computing, and translating business needs into scalable technical implementations using generative AI and LLMs.

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 implement complex AI agent workflows, support the development of RAG pipelines, and collaborate with engineering and product teams to build full-stack AI solutions for enterprise use cases. A key focus is evangelizing accelerated computing and Agentic AI through technical engagement with developers, data scientists, and senior leaders.

NVIDIA

Principal AI & Algorithms Engineer (Defence & Security)

This role involves leading the design and implementation of advanced algorithms for intelligent systems in defence and security contexts, with a focus on machine learning, AI, and sensor processing. You'll act as technical architect on complex projects, mentor engineers, and contribute to client-facing proposals and sales efforts. The position requires security clearance and combines hands-on development with strategic technical leadership in multidisciplinary teams.

Cambridge Consultants United Kingdom

Hybrid Permanent Clearance Required

Senior AI & Algorithms Engineer (Defence & Security)

This role involves leading the development of advanced AI and machine learning systems for defence and security applications, including signal processing, edge AI, and information processing with transformers. The engineer will deliver data-driven solutions, mentor junior staff, and contribute to client-facing technical proposals and demonstrators. Work includes translating research into deployable systems, with a strong emphasis on technical ownership and innovation in high-stakes domains.

Cambridge Consultants United Kingdom

Hybrid Permanent Clearance Required

Member of Technical Staff, Applied AI

Develop and deploy proprietary generative AI models into pharmaceutical and biotech customer environments, bridging deep technical understanding with production engineering. Collaborate closely with researchers and customer teams to adapt models, build robust ML pipelines, and deliver performant, secure inference systems. The role involves translating scientific requirements into technical solutions and feeding insights back into model development.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Anthropic Fellows Program, AI Safety & Security

This role involves conducting empirical AI safety research over a 4-month fellowship, working on projects such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows receive mentorship from Anthropic researchers, access to compute resources, and produce public outputs like research papers. The program supports remote participation in the UK, US, or Canada, with optional co-location in London or Berkeley.

Anthropic United Kingdom

Hybrid Internship

Anthropic Fellows Program, ML Systems & Reinforcement Learning

Engage in a 4-month full-time empirical research project on ML systems and performance, mentored by Anthropic researchers. Work includes building CPU simulators, accelerator backends, or synthetic data pipelines using open-source tools and large-scale systems. Projects aim for public outputs such as papers, with access to significant compute resources and a collaborative AI safety research environment.

Anthropic United Kingdom

Hybrid Internship

Quant Fund Recruiting Experienced Statistical Arbitrage Researcher Location

This role involves partnering with the research team to develop and refine intraday and systematic trading strategies using statistical arbitrage. You will analyze large-scale market data, build predictive models, and collaborate with technology teams to integrate these models into advanced trading infrastructure. The position is ideal for those who want to be involved in all aspects of the research, trading, and coding process in a collaborative start-up environment.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Senior Quantitative Researcher - Systematic Macro Strategies

The role involves designing and managing data-driven trading models for global macroeconomic assets, primarily using futures and foreign exchange. Responsibilities include developing systematic trading strategies, applying advanced quantitative methods, and collaborating in a research-driven environment to enhance alpha models and portfolio construction techniques.

eFinancialCareers London, United Kingdom

On-site Permanent

Research Scientist (Applied LLMs), London

A Research Scientist role focused on applying Large Language Models to drug discovery challenges, working within an interdisciplinary team of AI and life sciences experts. The position involves developing novel LLM-driven methods, refining models for biological and medical applications, and collaborating across scientific domains. The role requires deep technical expertise in LLMs and a strong foundation in machine learning and computational science.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

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 a cross-disciplinary environment with scientists and engineers. The role involves designing architectures, training models, and applying cutting-edge ML techniques to biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems across the full stack, from API layers to accelerators. You'll design service level objectives, build observability systems, lead incident response, and collaborate across teams to strengthen critical infrastructure. The position demands a systems thinker with strong distributed systems experience and a proactive approach to improving robustness in high-scale AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Permanent