Artificial Intelligence Jobs

• London
• Hybrid
• £375,000 – £640,000 pa
• Mid-level

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon scale, then turns validated findings into production training recipes. Builds long-horizon benchmarks and debugs failures that only surface at the research/infrastructure boundary, working closely with adjacent RL teams.

• London
• Hybrid
• £325,000 – £485,000 pa
• Lead

Sets technical direction for agent-driven compute cluster lifecycle management, covering provisioning, updates and decommissioning across major clouds and own datacenters. Partners with security, research and cloud providers on secure-by-default, high-bandwidth clusters, scalability and fault tolerance, while mentoring engineers and shaping incident response and on-call practices.

Kubernetes · Terraform · AWS +7

• Romania
• Remote
• Senior

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design through prototyping, implementation and production operations. Works autonomously on a distributed remote team, gathering requirements from analysts and choosing the technology stack, with existing Go and Python codebases to maintain.

AWS · GCP · EC2 +3

• United Kingdom
• Remote
• Senior

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design and prototyping through production deployment and long-term maintenance. Works fully remotely with analysts as internal customers, choosing your own tech stack across Go, Python, SQL/NoSQL and cloud.

AWS · GCP · EC2 +5

• London
• Hybrid
• Permanent

Builds and optimizes the large-scale compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers work across the stack, profiling training workloads, improving NCCL and collective communication, and creating tooling that makes heterogeneous clusters reliable and usable.

Kubernetes · NCCL · RDMA +3

• London
• Hybrid
• Permanent

Backend-focused product engineering role building Go services and APIs that let developers and AI agents work in parallel within customer-controlled cloud environments. You'll design orchestration for long-running tasks, handle permissions, credentials and isolation, and own outcomes from customer discovery through shipping and operating production systems.

AWS · GCP · Azure +2

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

AWS · Kubernetes · Slurm +2

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, operational automation and capacity management. Works with research, infrastructure and product teams to turn complex operational processes into reusable, scalable platform capabilities, with a focus on reliability, observability and developer experience.

ChatGPT · GPU

• London
• Hybrid · 3 days in office
• Permanent

Partner directly with engineering organizations to design, build, and deploy AI-powered software development workflows using Codex, from use-case selection through prototyping, evaluation, and production rollout. Combines hands-on coding in Python with customer leadership, building evaluation harnesses, integrations, and reusable architectures while feeding deployment insights back to Product and Research teams.

Codex · OpenAI · OpenAI Cookbook

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Senior technical owner for a portfolio of education customers, acting as the technical counterpart to institutional leadership. Shapes AI strategy across ChatGPT Edu, the OpenAI API and Codex, guiding institutions from pre-sales discovery through deployment and adoption. Requires education-sector fluency and hands-on architecture skills.

ChatGPT Edu · OpenAI API · Codex

• London
• Mid-level
• Permanent

Backend engineering role building and operating the distributed systems behind ChatGPT at significant scale. You'll write production code, design shared services and APIs, lead infrastructure migrations, and own production behaviour through monitoring, staged rollouts and incident response. Combines backend development with reliability and on-call work, closely partnered with product teams.

ChatGPT

• London
• Permanent

Designs, builds and maintains production harm-detection systems using SQL, Python, machine learning and language models, developing signals, classifiers and pipelines on shared engineering platforms. Also owns protection strategy and cross-functional delivery for a harm area or product launch, connecting detection with policy, review, enforcement and measurement, and participates in an on-call rotation.

OpenAI

• London
• Senior
• Permanent

Builds and operates shared multi-cloud compute platforms behind ChatGPT and the OpenAI API, spanning Kubernetes cluster lifecycle, upgrades, patching, capacity management, autoscaling and infrastructure automation. The role carries end-to-end production ownership, including on-call incident response, and focuses on reusable platform tooling across OCI, AWS and Azure rather than GPU optimization.

Kubernetes · AWS · Azure +2

• London
• Permanent

Conducts research on safety post-training methods such as RLHF, RLAIF, DPO, PPO, reward modeling, adversarial training and synthetic data, then builds evaluations for harms like jailbreaks, hallucination and policy adherence. Works cross-functionally with core training, product, policy, legal and trust and safety teams to ship safety improvements into production models.

OpenAI