Artificial Intelligence Jobs

CrowdStrike · United Kingdom

Serve as technical lead on front-page incident response engagements for Fortune 100 organisations, conducting intrusion investigations under outside counsel and performing host and network forensics across Windows, Mac and Linux. The role also involves cloud incident response, malware analysis and delivering findings to executives, regulators and legal teams.

CrowdStrike · United Kingdom

Lead a team of three data scientists at the intersection of machine learning, big data and cybersecurity, setting technical standards and driving strategy for threat detection and agentic AI systems. Work spans research through production deployment, using CrowdStrike's large-scale behavioural and malware data, while mentoring the team and partnering with security research, engineering and product.

NVIDIA · United Kingdom

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python, ML framework internals, and CPU/GPU architecture expertise.

Palo Alto Networks · Rome, Italy

Designs and plans Idira privileged-account security solutions for customers, coordinating with implementation, sales and product teams to ensure architectures meet standards and are executed as planned. Acts as a technical expert across enterprise networking, databases and vulnerability management, guiding customers through their journey and resolving escalations.

Palo Alto Networks · Amsterdam, Netherlands

Lead the design and planning of privileged account security solutions for customers, coordinating with implementation, sales and product teams to ensure architectures meet standards and are executed as planned. Act as a technical expert across enterprise networking, databases and vulnerability management, advising on best practices and managing the full customer journey.

NVIDIA · United Kingdom

Lead technical collaborations with supercomputing centres on hybrid quantum-classical application development, and drive research pathfinding in AI for quantum algorithms. The role sits in a small, high-impact quantum team, contributing to NVIDIA's quantum product through advanced simulations, digital twins and publishing research at major conferences.

Faculty · Remote (UK)

Lead the technical direction and delivery of complex, high-risk AI projects for defence clients, balancing deep ML engineering with team leadership. You'll design scalable ML systems, set architecture, build shared libraries, mentor engineers, and work on-site with customers 2-4 days a week, with the rest remote or from the London office.

Faculty · Remote (UK)

Lead backend and edge/IoT engineering for high-stakes Defence projects, bridging proof-of-concept work and robust production systems. You will mentor a squad of engineers, design complex components, and build CI/CD and containerisation pipelines with Docker and Kubernetes while shipping Python and compiled-language code alongside ML engineers and data scientists.

Scale AI · United Kingdom

Legal experts evaluate and stress-test generative AI outputs across compliance, litigation, case law and contract analysis, designing complex real-world scenarios and giving targeted feedback to improve model accuracy and regulatory alignment. Fellows also collaborate with Scale's research team on technical reports and benchmarks, working flexibly within an interdisciplinary network of academics and domain specialists.

Scale AI · United Kingdom

Medical experts design complex clinical scenarios, evaluate generative AI model decision-making for safety and accuracy, and shape reasoning frameworks through structured feedback. Fellows collaborate with AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks, within an interdisciplinary network. Work is project-based and flexible, with hours set by the fellow.

Multiverse · London

Deliver technical AI content across the AI for Business Value and AI-Powered Productivity programmes, facilitating workshops and drop-in sessions for apprentices. Moderate assignments, provide feedback, and coordinate with coaches and operations to track learner progress. Requires applying AI in business contexts and explaining complex concepts to varied audiences.