Artificial Intelligence Jobs

• Redmond, United States
• Hybrid · 2 days in office
• US$140,000 – US$220,000 pa
• Senior

Owns the product strategy for CrowdStrike Falcon Privileged Access, driving the shift to just-in-time access, zero standing privileges, secrets management and session brokering across endpoint, cloud and infrastructure. Works with design and platform teams to embed privileged context into Falcon telemetry, and uses AI agent tooling daily for research, specs and prototyping.

CrowdStrike Falcon · CyberArk · BeyondTrust +7

• Reading
• Hybrid
• Mid-level

A customer-facing technical role supporting enterprise sales: running proof-of-value engagements, demos, RFIs/RFPs and objection handling for a cloud security platform. Also involves competitive research, internal enablement sessions, documentation, and mentoring junior sales engineers.

Falcon Platform · CrowdStrike

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on AI control and alignment stress-testing. Works closely with interpretability, fine-tuning and red-team researchers, building tooling, multi-agent RL experiments and jailbreak evaluations, and contributing to papers and blog posts.

Python · Kubernetes · LLM +1

• London
• Hybrid
• US$405,000 – US$485,000 pa
• Senior

Design, build and operate core connectivity infrastructure behind external tool calls, including the MCP proxy and OAuth/token management systems. Own reliability for infrastructure other teams and partners depend on, covering SLOs, on-call, incident response and postmortems, while building enterprise admin controls and permission models and contributing to the MCP standard and its official Python and TypeScript SDKs.

MCP · OAuth · Python +4

• United Kingdom
• Remote
• Senior

You will own a small portfolio of strategic software companies, acting as their trusted technical advisor to integrate NVIDIA's AI platform, open models, SDKs and NIMs into their products. The role blends hands-on agentic AI and GPU-computing depth with developer advocacy, ecosystem mapping and commercial storytelling to engineering and C-suite audiences.

NVIDIA · NIMs · SDKs

• London
• Senior

Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.

PyTorch · JAX · TensorFlow +5

• London
• Hybrid · 4 days in office
• £65,000 – £80,000 pa
• Permanent

Hands-on role building complete software and data systems end to end, from architecture through to production, for an investment management firm's internal platforms. Work spans Python and SQL backend development, REST APIs, data pipelines, cloud infrastructure and applied AI/LLM tools for document processing, reporting and automation.

Azure · PostgreSQL · FastAPI +5

• Stratford-upon-Avon
• Remote
• £500 – £550 pd
• Contract

Build and support frontend and backend systems in Node.js and TypeScript, with a central focus on connecting an AI platform to internal and third-party services via APIs and Model Context Protocol (MCP) integrations. Work spans API design, authentication, database modelling, automated testing and production reliability, alongside AI specialists, frontend developers and business analysts.

Node.js · JavaScript · TypeScript +6

• United Kingdom
• Remote
• Senior

Serve as a trusted technical advisor to software solution providers, developers and startups across EMEA, driving adoption of NVIDIA's AI and computing platforms. The role involves accelerating workloads, advising on enablement resources, mapping the developer ecosystem and feeding field insights back to product and engineering teams. It blends deep technical work with commercial go-to-market and partner engagement.

NVIDIA

• United Kingdom
• Remote
• Lead

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

Databricks · Mosaic AI · MLflow +7

• Almondsbury
• £80,000 – £130,000 pa
• Mid-level
• Permanent

This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.

• United Kingdom
• Remote
• Permanent

Builds core platform foundations covering workspaces, user management, API keys, login, analytics and admin tooling, or generic resource and permissioning services used by product teams. Works on systems on the path of every request for millions of users, scoping changes in a large existing codebase, rolling out safely and debugging from customer reports and logs. Backend leaning with Python, shipping customer-facing features end to end.

OAuth · SSO · SCIM +2

• 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
• 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
• 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.