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Senior Research Scientist - AI Safety

This role involves leading high-impact AI safety research, focusing on red teaming and evaluations for frontier models in high-risk domains such as cybersecurity and national security. The scientist will drive technical research from concept to publication, shape safety strategies, and support real-world deployment of responsible AI systems through collaboration with government and commercial partners.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required
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Senior Full Stack Software Engineer

This role involves leading the architecture and development of full-stack platforms that translate complex data science and AI insights into production-grade software solutions. The engineer will work closely with data scientists and product managers to build scalable, high-performance systems, particularly focused on visualising AI outputs. Emphasis is placed on technical leadership, mentoring junior engineers, and maintaining rigorous engineering standards across cloud environments.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required

Forward Deployed Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Develop scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle from prototyping to deployment using modern cloud and containerisation technologies.

Faculty London, United Kingdom
Permanent

Senior Forward Deployed Engineer

Design and build scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Lead technical architecture, deploy secure AI solutions on cloud platforms, and mentor engineering teams. Work cross-functionally to translate complex AI concepts into operational systems while adhering to rigorous ethical and security standards.

Faculty London, United Kingdom
Permanent

AI Infrastructure Engineer, Serving Platform

Design and build scalable, fault-tolerant systems for serving large language models (LLMs) in both research and production environments. Develop internal platforms for LLM capability discovery and integration, with a focus on performance, observability, and system health. Collaborate closely with researchers and engineers to optimize model deployment and support cutting-edge AI applications.

Scale AI London, United Kingdom

Staff Software Engineer, Platform

This role involves developing and scaling a generative AI platform, with ownership of end-to-end feature development across backend, frontend, and AI components. The engineer will work closely with ML models and LLMs, build reliable distributed systems, and integrate with vector databases and AI infrastructure. Collaboration with product, ML, and infrastructure teams is key, in a fast-paced environment focused on delivering enterprise-grade AI solutions.

Scale AI London, United Kingdom
On-site Permanent

Research Engineer, Machine Learning (RL Velocity)

This role involves building and optimizing the machine learning infrastructure that supports Anthropic’s reinforcement learning research. You'll work closely with researchers to improve training efficiency, debug performance bottlenecks, and develop tooling that accelerates model development. The position focuses on high-leverage platform improvements that scale across the entire research team.

Anthropic London, United Kingdom £370,000 – £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 Technical Product Manager

This role involves leading the product development of AI-powered tools for defense and national security workflows within Scale AI’s Global Public Sector team. The individual will define technical roadmaps, collaborate closely with engineering and machine learning teams, and shape products used by allied government and defense entities. The position requires deep technical expertise, hands-on prototyping, and the ability to operate in high-compliance environments such as air-gapped or classified systems.

Scale AI United Kingdom
On-site Permanent Clearance Required

Technical Program Manager, Platform

This role involves leading the end-to-end delivery of Scale AI’s Generative AI Platform (SGP), focusing on strategic planning, cross-team alignment, and execution of core infrastructure initiatives. The Technical Program Manager will translate complex technical requirements into actionable roadmaps, manage risks in large-scale AI systems, and ensure platform reliability and adoption. It requires deep expertise in developer tooling, distributed systems, and cloud-native infrastructure within a fast-paced AI environment.

Scale AI London, United Kingdom
Hybrid Permanent

Head of International Security

This role leads international security strategy for a frontier AI company, focusing on compliance, cloud security, and AI-specific risks across non-US markets. The person will drive secure-by-default architecture, regulatory alignment, and high-assurance protections for government and enterprise customers. Key responsibilities include cross-border data governance, multi-tenant isolation, and detection engineering tailored to regional requirements.

Scale AI London, United Kingdom
Hybrid Permanent Clearance Required

Software Engineer, Enterprise

Design and scale backend systems for enterprise GenAI products, focusing on reliability, performance, and deployment across hybrid and multi-cloud environments. Build core services and APIs that securely integrate AI models with enterprise data sources. Architect distributed systems for data processing, inference, and orchestration of large-scale AI workloads.

Scale AI London, United Kingdom
On-site Permanent

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

Staff Software Engineer, Node Infra

This role focuses on designing and operating large-scale AI infrastructure, specifically managing the lifecycle of compute nodes across cloud and on-prem environments. The engineer will lead technical strategy for node provisioning, health monitoring, and automated repair systems, ensuring high reliability and efficiency across Anthropic's GPU, TPU, and Trainium fleets. Collaboration with research, inference, and cloud provider teams is central to shaping long-term infrastructure and compute strategy.

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

Engineering Manager, Connectivity - London

Lead a London-based engineering team building critical connectivity infrastructure for AI agents, including the MCP proxy, OAuth systems, and token management. Drive reliability, security, and scalability across distributed systems used in enterprise environments. Collaborate closely with San Francisco teams to shape the future of agent tool integration and contribute to open standards.

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