Latest OpenAI Jobs

Software Engineer, Privacy Engineering (Lawful Access)

Build secure, auditable systems for handling lawful data access requests, translating legal and operational requirements into reliable technical workflows. Design backend services, data pipelines, and approval interfaces with strong privacy, least-privilege access, and full lifecycle auditability. Collaborate closely with Legal and Operations to improve accuracy, efficiency, and operator experience in high-stakes compliance processes.

OpenAI London, United Kingdom

Permanent

Applied AI Engineer

An Applied AI Engineer will work directly with enterprise customers to design, build, and deploy production-grade AI systems that solve high-impact business problems. The role involves hands-on coding, architecture design, integration, evaluation, and guiding technical decisions across safety, reliability, cost, and governance. Engineers will transition prototypes into scalable, reliable systems while contributing reusable tooling and influencing product development through real-world deployment insights.

OpenAI United Kingdom

Hybrid Permanent

Engineering Manager, Safeguards

Lead the development of internal review and enforcement tooling used by safety investigators and AI systems to detect and respond to potential harms across Anthropic's platforms. Build a scalable, privacy-preserving platform with analytics, sandbox environments, and human-in-the-loop automation, enabling both human reviewers and Claude to act effectively. Partner with policy, legal, and data science teams to ensure systems are trustworthy, compliant, and aligned with evolving safety requirements.

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

Staff Software Engineer, Continuous Integration

This role involves designing and maintaining large-scale continuous integration infrastructure to support rapid, reliable code deployment across multiple cloud environments. The engineer will build intelligent test selection systems, improve CI reliability through flake detection and automation, and enhance developer productivity with scalable tooling. The position operates within a high-impact research and product environment focused on safe and steerable AI systems.

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

Applied AI Architect, Industries

This role involves serving as a technical advisor to enterprise customers adopting Anthropic's Claude AI, guiding them from initial evaluation through deployment. The Applied AI Architect will design scalable integration architectures, develop evaluation frameworks, and communicate technical concepts to both engineering teams and executives. Collaboration with Sales, Product, and Engineering teams is central to ensuring successful customer outcomes while upholding safety and reliability standards.

Anthropic London, United Kingdom £190,000 – £230,000 pa

Applied AI Security Architect

This role involves serving as a technical security expert for Anthropic’s enterprise customers in highly regulated industries across EMEA. You will lead security and compliance discussions with CISOs and technical leaders, focusing on GDPR, EU AI Act, DORA, and NIS2 compliance, while guiding the secure deployment of Claude. The position requires deep knowledge of enterprise security architecture, data protection, and regulatory frameworks, with a strong emphasis on pre-sales technical engagement and shaping customer trust in AI systems.

Anthropic London, United Kingdom

Hybrid Permanent

Contracts Manager, EMEA

This role involves managing and negotiating complex commercial and procurement contracts for Anthropic's EMEA operations, with a focus on supporting AI technology transactions. The Contracts Manager will work closely with legal and business teams to streamline contract processes, implement scalable solutions, and align regional execution with global legal strategy. Key responsibilities include drafting agreements, improving contracting efficiency, and enabling cross-functional stakeholders through local rollout of policies and initiatives.

Anthropic London, United Kingdom £140,000 – £180,000 pa

Regional Research Economist, Economic Research

This role involves conducting empirical economic research to understand AI's impact on labor markets, productivity, and economic transformation across a specific region. The economist will develop and expand the Anthropic Economic Index using novel measurement systems like Clio, applying advanced econometric and machine learning methods. They will collaborate with governments, academia, and policy institutions to translate research into actionable insights and influence both public policy and internal business decisions.

Anthropic London, United Kingdom £195,000 – £245,000 pa

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, 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, Pretraining

This role involves conducting research and engineering to advance large language models, focusing on model architecture, optimization, and scalable training infrastructure. You'll work across the full stack—from low-level system optimizations to high-level model design—while contributing to scientific experiments and tooling. The position emphasizes collaboration, interpretability, and AI safety within a cohesive research team.

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