Latest PhysicsX Jobs

Senior Machine Learning Infrastructure Engineer, Research

This role involves designing and operating distributed training infrastructure for large physics models using NVIDIA DGX B200 systems, with a focus on optimizing training pipelines, data I/O performance, and model serving. The engineer will work closely with research scientists and ML engineers to enable efficient, scalable AI training and deployment in high-performance computing environments, while also building observability and reproducibility into the research workflow.

PhysicsX 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 platform, focusing on Agentic AI, generative AI, and large language models. The Solutions Architect will design complex AI agent workflows, build proofs of concept, and act as a technical bridge between NVIDIA, partners, and end-customers. Key responsibilities include evangelizing accelerated computing, developing full-stack AI solutions for enterprise use cases, and translating technical capabilities into business value for industry leaders.

NVIDIA

Solutions Architect, CSP GTM

This role involves designing and demonstrating GPU-accelerated solutions for Generative AI and machine learning workloads on hyperscaler platforms, with a primary focus on Google Cloud (GCP). The Solutions Architect will collaborate with NVIDIA’s partners and customers to optimize training and inference pipelines, provide technical leadership, and translate developer needs into product improvements. It emphasizes deep technical engagement across engineering, product, and sales teams to drive adoption of NVIDIA’s AI platforms.

NVIDIA France

Defence & National Security RF Communications Lead

This role involves leading the design and development of custom RF communication systems for defence and national security applications, including low-power, long-range, and software-defined radio solutions. The individual will act as a technical expert, guiding projects from concept through to deployment while collaborating closely with clients and multidisciplinary teams. Key focus areas include radio system design, propagation, and protocol development, with frequent UK travel and client engagement required.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

Graduate Electronic Systems Engineer (2026 start)

Design and develop electronic systems across diverse domains including aerospace, defence, and consumer devices, with hands-on involvement in hardware design, FPGA development, PCB layout, and lab-based testing. Work in multidisciplinary teams on cutting-edge projects such as secure satellite communications and 5G antenna systems, gaining exposure to embedded software and system-level integration. Benefit from structured mentoring and real-world client engagement from day one.

Cambridge Consultants United Kingdom

On-site Permanent

Principal Data Scientist - Aristocrat

This role involves leading end-to-end data science initiatives to enhance player engagement, retention, and monetization in social casino games. The Principal Data Scientist will develop machine learning and reinforcement learning models, drive scalable experimentation, and translate complex insights into product decisions. They will also provide technical leadership, mentorship, and collaborate across engineering, MLOps, and game teams to build data products and improve decision-making frameworks.

eFinancialCareers London, United Kingdom

Applied AI Security Architect

This role involves serving as the primary security and compliance expert for Anthropic’s enterprise customers in EMEA, particularly within highly regulated industries. The individual will lead technical discussions on AI security, data protection, and regulatory compliance, supporting pre-sales engagements with institutions like banks and insurers. They will also shape customer trust by designing secure deployment architectures for Claude and influencing product development based on frontline feedback.

Anthropic London, United Kingdom £190,000 – £225,000 pa

On-site Permanent

Engineering Manager, Connectivity - London

Lead a distributed engineering team building critical connectivity infrastructure for AI agents, focusing on secure, scalable access to external systems via the MCP standard. Responsibilities include managing token management, OAuth flows, and proxy systems that power tool use across Anthropic's products. The role emphasizes operational rigor, cross-team alignment, and technical leadership in a high-trust, enterprise-focused environment.

Anthropic London, United Kingdom

Hybrid Permanent

Staff Software Security Engineer

This role focuses on building and maintaining robust security infrastructure for large-scale AI systems, with a strong emphasis on cloud security, secure CI/CD pipelines, and containerized environments. The engineer will design secure-by-design workflows, implement identity and access management, and harden systems against supply chain threats. They will also mentor teams and lead security initiatives across a multi-cloud environment, ensuring AI systems remain safe, interpretable, and trustworthy.

Anthropic London, United Kingdom £240,000 – £325,000 pa

Hybrid Permanent

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves collaborating with researchers and engineers to advance the capabilities and safety of large language models through reinforcement learning. Responsibilities include developing core RL infrastructure, designing novel training environments, and optimizing performance across the stack.

Anthropic London, United Kingdom £260,000 – £630,000 pa

On-site Permanent

Research Engineer, Machine Learning (RL Velocity)

As a Research Engineer on the RL Velocity team, you will focus on building and improving the RL training infrastructure, identifying and removing bottlenecks, and partnering with researchers and engineering teams to enhance the efficiency and reliability of Anthropic's AI systems. This role involves high-leverage work that impacts the entire organization's ability to iterate and improve models quickly.

Anthropic London, United Kingdom £370,000 – £630,000 pa

Hybrid Permanent

Research Engineer, Pretraining

A Research Engineer on the Pretraining team will bridge cutting-edge AI research and large-scale systems engineering, focusing on advancing large language models through work in model architecture, training optimization, and data processing. The role involves deep collaboration across research and engineering, with hands-on contributions to the full stack—from low-level infrastructure to high-level model design. Key projects include optimizing attention mechanisms, scaling distributed training, and improving model interpretability.

Anthropic London, United Kingdom £260,000 – £630,000 pa

On-site Permanent

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on performance optimization, debugging across hardware and training dynamics, and ensuring reliable, scalable model training. The position requires deep technical expertise in distributed systems and ML frameworks, with hands-on responsibilities during high-pressure model launches and a strong emphasis on operational reliability and cross-team coordination.

Anthropic London, United Kingdom £260,000 – £630,000 pa

On-site Permanent

[Expression of Interest] Research Engineer / Scientist, Alignment - London

This role involves conducting experimental research in AI safety and alignment, focusing on risks from advanced AI systems. You'll design and run machine learning experiments—such as testing safety robustness, developing control methods, and stress-testing alignment—to improve the reliability and steerability of AI. The work is highly collaborative, involving contributions to research papers and close coordination with teams like Interpretability and Fine-Tuning.

Anthropic London, United Kingdom £260,000 – £370,000 pa

Hybrid Permanent