Artificial Intelligence Jobs

• United Kingdom
• Remote
• Entry level

Monitors and performs in-depth analysis of security alerts on the CrowdStrike platform, handling incidents across Windows, Mac and Linux, including malware analysis and remote remediation. Works in a virtual security operations centre, producing written and verbal findings for customer management and improving detection and triage processes.

CrowdStrike · Windows · Mac OS +5

• London
• Hybrid
• £255,000 – £325,000 pa
• Lead · manages people

Lead a London-based team building connectivity infrastructure for Claude, including the MCP proxy, OAuth and token management, and official SDKs. The role spans hiring, coaching, roadmap setting with San Francisco partners, and operational rigor for systems that external partners depend on.

MCP · Python · TypeScript +4

• London
• Hybrid
• £195,000 – £245,000 pa
• Senior

Conducts empirical research on AI's economic effects, building and extending the Anthropic Economic Index with regionally-specific analysis. Develops novel measurement methodologies using econometrics, machine learning, and structural estimation, and translates findings into policy recommendations while building relationships with academic, government, and industry partners.

Claude

• United Kingdom
• Remote
• Senior · manages people

Monitors and performs in-depth analysis of security alerts across Windows, Mac and Linux, handling incidents end to end including malware analysis and remote remediation. Acts as technical escalation point and mentor for junior analysts while improving detection and triage processes. Based in a virtual security operations centre serving customers in real time.

Windows · Mac · Linux +6

• London
• On-site
• Mid-level
• Permanent

You'll partner with early-stage startups to embed Codex into their software workflows, building integrations, automations and reusable tools while troubleshooting technical blockers. A large part of the role is outward-facing: leading technical talks, live demos, workshops and hackathons, then feeding developer insights back to OpenAI's product and research teams.

Codex · OpenAI

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Join the training team to push the frontier of LLM development for flagship models, enhancing intelligence, efficiency, and adding new capabilities. Work spans architecture design, long-context and efficient attention, optimization, and the science of scaling, with hands-on prototyping, debugging, and infrastructure contributions.

• London
• Hybrid
• Lead
• Permanent

Own end-to-end system architecture for the Wayve AI Driver across L0–L4, defining interface contracts, sensor and compute topology, redundancy and safety mechanisms. Lead technical alignment with OEMs, Tier 1s and partners, and support integration, bring-up and system-level debugging on vehicles and HiL/ViL benches.

Linux · RTOS · HiL +3

• London
• Hybrid · 3 days in office
• £120,000 pa
• Director · manages people
• Contract

Lead an ARIA-backed £50m testbed building rack-scale AI systems, integrating emerging hardware into working pilots every six months and benchmarking them against commercial alternatives. The role spans programme delivery, partnerships, operating model and long-term backing within the Scaling Compute Programme, working with startups and research groups in an open environment.

• London
• Hybrid
• £65,000 – £145,000 pa

Expression of interest for engineers at all levels to join a government team building shared tooling and infrastructure for frontier AI security research. Work spans open-source Inspect plugins, large-scale evaluation systems, hosting open-weights models, secure model-access proxies, and custom research infrastructure.

Inspect

• London
• Hybrid
• £65,000 – £145,000 pa

Evaluates frontier and open-weight AI models for cybersecurity, autonomy and AI R&D capabilities, building realistic cyber ranges and CTF suites, running pre-deployment testing and validating novel model behaviours. Works alongside engineers and researchers with high autonomy, collaborating with UK government, frontier labs and NCSC.

Cyber Ranges · CTF · Claude

• London
• Hybrid
• Senior
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training and inference, and planning wet lab testing campaigns, with about 10% of time for self-development.

• London
• Hybrid
• Senior
• Permanent

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works with Python, Airflow/Dagster/Flyte, Ray or Spark and Kubernetes to run hundreds of parallel pipeline steps, batch inference and evaluations reliably at scale.

Harness · Airflow · Dagster +7

• London
• £96,000 – £115,000 pa
• Director · manages people
• Permanent

Provides scientific and strategic leadership for the AI for Physical Systems research area, shaping a portfolio spanning probabilistic modelling, uncertainty quantification, efficient architectures and physics-informed machine learning. Leads a multidisciplinary team of researchers and engineers, taking methods from foundational research through to deployment on real-world resilience challenges, and builds collaborations across academia, government and industry.

• Munich - Berlin - London - Paris

Work at the intersection of machine learning and signal processing on RF data, building models that detect, classify and reason about signals in congested, contested spectrum for electronic warfare systems. Own problems end-to-end, from reading literature and prototyping on real recorded data to pushing models to edge hardware under hard latency and compute budgets, in a small research team alongside RF and hardware engineers.

ONNX · TensorRT

• London
• Hybrid
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training/inference optimisation and planning wet lab testing campaigns, with about 10% of time for self-development.