Latest OpenAI Jobs

Recruiter, AI/ML Research EMEA

This role involves strategic talent acquisition for OpenAI’s AI/ML research teams across EMEA, focusing on identifying and engaging leading researchers and technical scientists. The recruiter will work closely with research staff to shape hiring strategies, anticipate future needs, and influence talent decisions in a fast-evolving technical landscape. Based in London with a hybrid work model, the position requires deep expertise in technical recruiting and strong engagement with global AI research communities.

OpenAI London, United Kingdom

Hybrid Permanent

AWS Specialist Sellers, Strategic Pursuits

Lead high-value enterprise opportunities through the joint AWS and OpenAI co-sell motion, working closely with AWS field teams and internal stakeholders to shape and close strategic deals. Focus on driving GenAI adoption and enterprise transformation by aligning technical capabilities with business priorities. Develop repeatable playbooks and serve as a commercial advisor in complex, multi-stakeholder environments.

OpenAI London, United Kingdom

Hybrid Permanent

Forward Deployed Engineer, Infrastructure Specialist (Middle East)

This role involves leading end-to-end deployments of Cohere’s North AI platform in private cloud and on-premises environments for enterprise clients. The engineer will work closely with client IT teams to assess infrastructure, security, and data management needs, designing secure, compliant deployment strategies. Focus areas include Kubernetes administration, cloud infrastructure (Azure, AWS, GCP), and troubleshooting in high-stakes sectors like finance and healthcare.

Cohere United Kingdom

Hybrid Permanent

Forward Deployed Engineer, Agentic Platform (UK Public Sector)

Design, build, and deploy production-grade LLM-powered agentic workflows for enterprise clients in high-regulation sectors. Translate ambiguous business problems into secure, reliable AI agents integrated with tools, APIs, and sensitive data sources. Contribute to North, Cohere’s AI workspace platform, across the full product lifecycle while shaping cross-customer frameworks and ensuring auditability, safety, and performance.

Cohere United Kingdom

Remote Permanent

Regional Research Economist, Economic Research

This role involves conducting empirical economic research on AI's impact across labor markets, productivity, and economic transformation, using novel measurement systems and large-scale datasets. The economist will develop region-specific insights through the Anthropic Economic Index, collaborate with external partners, and translate findings into policy recommendations. Work includes methodological innovation in econometrics and machine learning, with a focus on real-world AI adoption patterns and societal outcomes.

Anthropic London, United Kingdom £180,000 – £190,000 pa

On-site Permanent

Staff Software Engineer, Kubernetes Platform

This role involves owning and scaling the Kubernetes control plane for large AI training clusters, including customizing the scheduler for topology-aware ML workloads and ensuring high availability under extreme scale. The engineer will build core platform services like service discovery, develop controllers and operators, and collaborate closely with research and infrastructure teams. The position demands deep expertise in distributed systems, Kubernetes internals, and debugging complex production issues across cloud environments.

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

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems across the full stack, from API layers to accelerators. You'll design service level objectives, build observability systems, lead incident response, and collaborate across teams to strengthen critical infrastructure. The position demands a systems thinker with strong distributed systems experience and a proactive approach to improving robustness in high-scale AI environments.

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

Permanent

Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)

Conduct empirical research on AI's economic and societal impacts, using external data and models to explore labor markets, policy, and security implications. Work closely with mentors and contribute to actionable insights for AI safety and governance. Projects may involve methodological innovation and analysis of AI's broader effects on society.

Anthropic United Kingdom

Hybrid Internship

Anthropic Fellows Program, AI Safety & Security

This role involves conducting empirical AI safety research over a 4-month fellowship, working on projects such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows receive mentorship from Anthropic researchers, access to compute resources, and produce public outputs like research papers. The program supports remote participation in the UK, US, or Canada, with optional co-location in London or Berkeley.

Anthropic United Kingdom

Hybrid Internship

Anthropic Fellows Program, ML Systems & Reinforcement Learning

Engage in a 4-month full-time empirical research project on ML systems and performance, mentored by Anthropic researchers. Work includes building CPU simulators, accelerator backends, or synthetic data pipelines using open-source tools and large-scale systems. Projects aim for public outputs such as papers, with access to significant compute resources and a collaborative AI safety research environment.

Anthropic United Kingdom

Hybrid Internship