Latest Physics Jobs

Staff Backend Software Engineer - GO & Python

Build and maintain a platform for Data Scientists and Simulation Engineers to develop and deploy physics-informed AI models. Work on scalable backend systems using Python and Go, with full ownership from implementation to production. Collaborate closely with cross-functional teams and leverage domain expertise to shape engineering practices in a high-performance, event-driven environment.

PhysicsX London, United Kingdom

CFD Multiphase & DEM Engineer

Develop and validate high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating with AI-driven simulation workflows. Work across the full simulation lifecycle—from CAD and meshing to solver development, HPC execution, and experimental validation—while collaborating directly with clients to solve complex engineering challenges. Focus on scalable automation, surrogate modelling, and data pipelines to enable AI-enhanced design optimisation.

PhysicsX United Kingdom

Hybrid Permanent

Senior Solutions Architect, Consulting Partners

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

NVIDIA United Kingdom

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

PhD Graduate AI & Algorithms Engineer (2026 start)

Work within a multidisciplinary team to design and build intelligent systems using AI and advanced algorithms, applying cutting-edge research to solve real-world client problems. Engage in hands-on development, model training and testing, and contribute to internal R&D initiatives that push the boundaries of state-of-the-art technology. Communicate technical outcomes to both technical teams and external clients in a collaborative innovation environment.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

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

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab validation cycles. Work in a cross-disciplinary team to build scalable data pipelines, optimize model performance, and deploy models that function in real-world biological assays. Engage in continuous learning of protein and cell biology to inform model development and contribute to scientific advancement in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Computational Protein Designer

This role involves designing functional proteins using proprietary generative AI models, bridging machine learning and experimental validation teams. The scientist will iteratively optimize protein designs based on lab feedback, contribute to AI model improvement, and help refine data workflows. The position emphasizes interdisciplinary collaboration, scientific rigor, and innovation in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Sports Betting Quantitative Researcher

This role involves developing and improving predictive models for sports betting markets using machine learning frameworks like TensorFlow and PyTorch. You will work closely with experienced researchers, engineers, and traders to build and deploy models that move from research to live trading, with a focus on improving predictive accuracy and market edge.

ABL Recruitment London, United Kingdom £80,000 – £110,000 pa

Senior Applied Data Scientist

This role involves leading end-to-end data science projects to enhance customer personalisation for major retail clients like Tesco UK. You'll work with large-scale transactional data, apply machine learning techniques, and design A/B tests to deliver scalable, data-driven solutions. The position emphasizes collaboration with cross-functional teams and translating complex insights for both technical and non-technical stakeholders.

dunnhumby London, United Kingdom

Hybrid Permanent

Market Risk Product Analyst

This role involves shaping and enhancing a Market Risk product by translating client and stakeholder needs into clear technical requirements. The analyst will work closely with data, software, and financial engineering teams to develop and integrate risk models, design new features, and support client onboarding and product demonstrations. The position emphasizes collaboration, analytical prototyping, and end-to-end ownership of product components within a data-driven financial risk environment.

eFinancialCareers London, United Kingdom

Hybrid Permanent

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

Conduct empirical research on AI's economic and societal impacts, using external data and models to explore labor markets, policy, and security implications. Work closely with mentors and contribute to actionable insights for AI safety and governance. Projects may involve methodological innovation and analysis of AI's broader effects on society.

Anthropic United Kingdom

Hybrid Internship

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

Elite Quant Researcher -Global Systematic Investment Firm/ London/ USA

This role involves researching and developing mathematical and statistical models for systematic investment strategies, using advanced techniques in machine learning and large-scale data analysis. The researcher will work across the full lifecycle—from hypothesis generation and model testing to production implementation—within a collaborative environment alongside portfolio managers and engineers. The position emphasizes original, rigorous research applied to global financial and alternative datasets.

eFinancialCareers London, United Kingdom

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