Latest Physics Jobs

CFD Engineer

This role involves building and running high-fidelity CFD simulations from geometry cleanup to post-processing, supporting AI-driven engineering solutions. The engineer will work closely with data science teams to generate datasets for machine learning models, contribute to simulation automation, and engage with customers to deliver practical engineering insights. Based in Singapore, the position offers early-stage team influence and cross-industry technical exposure.

PhysicsX United Kingdom

Data Scientist

A Data Scientist in the Delivery team will work directly with customers and engineering teams to transform AI models into practical tools for solving complex physics and engineering problems. The role involves preprocessing data, building deep learning models, and deploying scalable data pipelines, with integration into simulation workflows. Frequent travel and on-site collaboration with clients across industries like aerospace, energy, and semiconductors are key aspects of the role.

PhysicsX United Kingdom US$120,000 – US$240,000 pa

Forward Deployed Engineer

This role involves embedding directly with strategic enterprise customers to build and deploy production AI applications using Anthropic's Claude models. The engineer will develop technical solutions such as MCP servers, sub-agents, and agent skills while working within complex customer environments. They will also identify repeatable deployment patterns and act as a technical ambassador for Anthropic’s mission, requiring frequent travel and strong cross-functional collaboration.

Anthropic London, United Kingdom £225,000 – £255,000 pa

Applied AI Engineer, Beneficial Deployments (Life Sciences)

This role involves serving as the primary technical advisor to life sciences research institutions, helping them adopt and integrate Claude into their scientific workflows. The Applied AI Architect will translate complex research needs into scalable AI solutions, lead technical enablements, and design cohort-based accelerators to drive broad impact across academia and mission-driven organizations. By bridging technical depth with relationship-building, the role focuses on making AI a seamless part of discovery and development in life sciences.

Anthropic London, United Kingdom £165,000 – £190,000 pa

Senior Solutions Engineer (Technical, Presales, Data & AI, DNB)

This role involves acting as a technical advisor to customers, demonstrating the Databricks Data Intelligence Platform through hands-on evaluations and custom proof-of-concepts. The engineer will collaborate with sales teams to translate customer data challenges into technical solutions, develop reference architectures, and support clients across industries like media, finance, and retail. The position requires deep expertise in big data, AI, and cloud ecosystems, with regular engagement in technical workshops and on-site customer visits.

Databricks London, United Kingdom

Hybrid Permanent

Senior Specialist Solutions Architect (AI/ML)

Design and implement production-grade machine learning and AI workloads on the Databricks platform, with a focus on GenAI, MLOps, and LLMOps. Lead technical engagements with enterprise customers, build end-to-end AI pipelines, and provide expert guidance on RAG architectures, agentic systems, and AI observability. Mentor internal teams and influence product direction by representing customer needs in AI roadmap discussions.

Databricks London, United Kingdom

Hybrid Permanent

Applied AI Architect, Startups

This role involves serving as a trusted technical advisor to startup founders and engineering teams, helping them adopt and build on the Claude Developer Platform. The candidate will design LLM-powered architectures, lead technical evaluations, and translate startup needs into scalable AI solutions while gathering product feedback. The position bridges sales, product, and engineering, with a strong focus on hands-on technical guidance and real-world deployment of generative AI systems.

Anthropic London, United Kingdom £150,000 – £170,000 pa

On-site Permanent

Staff Software Engineer, Inference

This role involves building and maintaining large-scale, compute-agnostic inference systems that power Claude for millions of users and support cutting-edge AI research. The engineer will work across the full stack, optimizing intelligent request routing, fleet orchestration, and performance across diverse AI accelerators in multi-cloud environments. Projects include autoscaling infrastructure, integrating new hardware, and developing production pipelines for model deployment.

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

Hybrid Permanent

Staff+ Software Engineer, Safeguards Infrastructure

Build foundational systems for AI safety, oversight, and intervention mechanisms, focusing on detecting unwanted model behaviors and preventing disallowed use. Develop infrastructure for data management, metrics, evaluations, and review tooling while ensuring high operational reliability and scalability. Work across the stack to create multi-layered, real-time safety defenses with minimal human intervention.

Anthropic London, United Kingdom £255,000 – £325,000 pa

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