Latest OpenAI Jobs

Forward Deployed Engineer - London (Spanish-speaking)

This role involves leading end-to-end technical deployments of cutting-edge AI models for strategic customers, from prototyping to production. The engineer will build full-stack systems, deeply integrate with customer teams, and translate field feedback into product and model improvements. Success is measured by real-world adoption and measurable impact on customer workflows.

OpenAI London, United Kingdom

Permanent

Software Engineer, ChatGPT Infrastructure

Design, build, and operate reliable, scalable systems supporting AI products like ChatGPT and the OpenAI API. Focus on performance optimization, system resilience, automation, and developer experience across distributed infrastructure. Collaborate with research, product, and engineering teams to improve reliability, scalability, and observability at global scale.

OpenAI London, United Kingdom

On-site Permanent

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 at the research-infrastructure boundary, and translate validated findings into production training recipes. Work is highly collaborative with research and engineering teams, focusing on empirical science to advance steerable and safe AI systems.

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

Hybrid Permanent

Staff Software Engineer, Infrastructure (Distributed Systems)

Lead and architect large-scale distributed systems that support AI model training, serving, and security. Work closely with research and product teams to build reliable, scalable infrastructure on Kubernetes and cloud platforms. Drive technical strategy, mentor engineers, and improve operational resilience across high-impact systems.

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

Member of Technical Staff, North Modelling (Evals)

This role focuses on designing and implementing evaluation systems to measure the real-world performance of AI agents within Cohere’s North platform. You'll translate customer needs, product direction, and usage data into meaningful metrics that guide model development, ensuring improvements align with enterprise workflows like research, document editing, and automation. The position bridges product and modelling teams, requiring deep expertise in applied machine learning evaluation and a strong focus on measurement rigor.

Cohere London, United Kingdom

Hybrid Permanent

Staff Infrastructure Engineer, Cluster Infrastructure

This role involves leading the technical strategy for agent-driven automation in cluster lifecycle management, ensuring secure, scalable, and fault-tolerant compute infrastructure across cloud and on-prem environments. You'll collaborate with research, product, and security teams to shape long-term infrastructure direction, with a focus on high-bandwidth interconnectivity and operational excellence. The position emphasizes mentorship, cross-team alignment, and driving innovation in large-scale cluster provisioning and management.

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

On-site Permanent

Staff Software Engineer, Node Infra

This role focuses on designing and operating large-scale infrastructure systems that manage the full lifecycle of AI accelerator nodes across multiple cloud providers and on-prem datacenters. The engineer will lead technical strategy for node provisioning, health monitoring, and automated repair, ensuring high availability and efficiency for Anthropic’s AI training and inference workloads. The position involves deep collaboration with research, product, and cloud teams to scale infrastructure reliably while driving operational excellence and mentoring other engineers.

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

On-site Permanent

Applied AI Architect, Industries

This role involves serving as a technical advisor to enterprise customers adopting Claude, designing scalable AI architectures, and guiding integration of Anthropic's LLMs into existing technology stacks. The position bridges technical and business stakeholders, creating evaluation frameworks and delivering tailored technical content. Collaboration with sales, product, and engineering teams is central to driving successful customer deployments.

Anthropic London, United Kingdom £150,000 – £190,000 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