Latest Ethical AI Jobs

[London] Applied AI Architect, Partnerships

This role involves building technical relationships with global and regional system integrators and cloud partners, enabling their AI practices, and supporting strategic customer deals. You will also gather product feedback and represent Anthropic at partner events.

Anthropic London, United Kingdom

Anthropic Fellows Program, AI Safety & Security

This role involves conducting full-time empirical AI safety research over a 4-month period, aligned with Anthropic’s priorities such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows will work on a self-directed project with mentorship from senior researchers, aiming to produce a public output like a research paper. The program offers a structured environment with access to compute funding, a shared workspace, and integration into the broader AI safety research community.

Anthropic United Kingdom

Senior Machine Learning Engineer (Safety)

As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions in national security and global stability. You will design, build, and deploy scalable, production-grade ML software and infrastructure, ensuring rigorous operational and ethical standards. You will also mentor junior engineers and collaborate with cross-functional teams to solve critical client challenges.

Faculty London, United Kingdom

Permanent

Data Scientist

Design and deliver custom data science solutions for high-impact projects in the defence sector, working closely with clients and cross-functional teams. Focus on ethical, reliable AI applications requiring technical leadership, rigorous model development, and clear communication of insights to non-technical stakeholders. Contribute to thought leadership through teaching or open-source work.

Faculty London, United Kingdom

Hybrid Permanent

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves advancing reinforcement learning in large language models, focusing on developing agentic systems for computer use, code generation, and reasoning. The engineer will build scalable RL infrastructure, design training environments, and collaborate across research and engineering to implement safety and performance improvements at scale.

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

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on reliability, performance optimization, and debugging across hardware, networking, and training dynamics. The engineer will run experiments to improve training efficiency, respond to incidents during model launches, and collaborate closely with research and systems teams. It’s a high-impact, operational role blending deep technical engineering with empirical research in a fast-paced, safety-focused AI environment.

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

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues that emerge at scale, and translate validated research findings directly into production training pipelines. The position sits at the intersection of research and systems engineering, requiring deep empirical rigor and close collaboration with both research and infrastructure teams.

Anthropic London, United Kingdom £375,000 – £640,000 pa

Staff Software Engineer, Kubernetes Platform

This role involves owning and scaling Kubernetes control plane components to support Anthropic's large-scale AI training infrastructure. You'll extend the scheduler for topology-aware and gang scheduling of ML workloads, operate core cluster services like service discovery, and ensure high availability across multi-cloud accelerator fleets. The work is deeply technical, focusing on reliability and performance at extreme scale in collaboration with research and inference teams.

Anthropic London, United Kingdom £325,000 – £485,000 pa

Staff Infrastructure Engineer, Cluster Infrastructure

This role focuses on designing and managing large-scale compute cluster infrastructure, with a strong emphasis on automation, security, and scalability. The engineer will lead technical strategy for provisioning and lifecycle management of clusters across cloud and on-prem environments, ensuring high-bandwidth interconnectivity and fault tolerance. Responsibilities include cross-team collaboration on compute strategy, operational excellence, and mentoring other engineers.

Anthropic London, United Kingdom £325,000 – £485,000 pa

Staff Software Engineer, Inference

This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.

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

Staff Software Engineer, Infrastructure (Distributed Systems)

This role involves leading the design and implementation of large-scale distributed systems that support AI model training, serving, and security. You'll drive architectural decisions, improve reliability and scalability, and collaborate closely with research and product teams to evolve infrastructure in line with evolving needs. The position emphasizes technical leadership, operational excellence, and mentoring within a high-impact AI research environment.

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

Technical Deployment Lead

Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, managing product scoping, stakeholder engagement, and deployment execution. Translate business objectives into technical roadmaps, coordinate cross-functional teams, and define measurable impact while navigating compliance and organizational complexity. Help build scalable deployment playbooks and feed real-world insights back into product and research.

Anthropic London, United Kingdom £165,000 – £230,000 pa

Forward Deployed Engineer

This role involves embedding with strategic enterprise customers to build and deploy production AI applications using Anthropic's Claude models. The engineer will develop custom solutions like agent skills and MCP servers, provide on-site deployment support, and translate customer needs into technical implementations while maintaining safety and reliability standards. As a founding member of the Forward Deployed Engineering team, the role also shapes Anthropic’s customer deployment strategy and contributes insights back to product and engineering teams.

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

Staff+ Software Engineer, Platform Connectivity

Design and operate core connectivity infrastructure for AI agents, including the MCP proxy, OAuth/token management, and admin controls. Contribute to the open MCP standard and SDKs while ensuring enterprise-grade reliability and security. Work across distributed teams to ship foundational services used by Claude products and API consumers.

Anthropic United Kingdom US$405,000 – US$485,000 pa

Data Center Energy Lead, EMEA

Lead the development and execution of energy procurement and grid connection strategies for Anthropic's AI compute infrastructure across multiple European jurisdictions. Drive multi-hundred megawatt power capacity acquisition, engage with transmission and distribution system operators, regulators, and shape energy policy to accelerate data center energization. Partner with engineering teams to align energy market dynamics with aggressive deployment timelines.

Anthropic London, United Kingdom