Artificial Intelligence Jobs

Faculty · London

Builds and deploys production-grade ML software, tools and infrastructure, creating reusable solutions that accelerate ML delivery and capability testing of frontier AI models. Leads technical scoping and architectural decisions, advises clients and partners, and works with frontier labs on AI safety red teaming and evaluation.

Faculty · London

You will own and evolve the internal delivery platform that supports over 100 data scientists and ML engineers, building MLOps, data science and deployment tooling. Day to day involves infrastructure-as-code, DevSecOps, containerised microservices and integrating core services across AWS, Azure and GCP. The role sits in a small, fast-moving team focused on removing technical friction for customer-facing delivery teams.

Wayve · London

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, and productionises services on Azure and Kubernetes with observability and approval gates.

Wayve · London

Works at the boundary between onboard software and vehicle hardware, bringing up new vehicle platforms on benches, HiL systems and vehicles, including at international test locations. Builds and maintains vehicle-facing components and shared frameworks in C++, Python or Rust on Linux-based robotic and automotive systems using ROS2, CAN and Automotive Ethernet, with diagnostics, tooling and documentation for long-term supportability.

CrowdStrike · Aarhus, Denmark

Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Works on cross-platform deliverables with shared components across Windows, Mac and Linux, leading projects from design through delivery and demo.

CrowdStrike · London

Builds and owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, detects malicious behaviour and provides on-box prevention plus telemetry to the cloud. Work spans OS internals such as file system, memory, process and networking, with cross-platform components shared across Windows, Mac and Linux.

Faculty · London

Conducts original technical research in AI safety, designing experiments to study and steer transformer-based LLM behaviour using white-box and black-box interpretability methods. Builds reproducible research code and tooling in Python and PyTorch, and communicates findings to frontier labs, government bodies and safety institutes. Works alongside senior and lead scientists, with part-time hours open to discussion.

Faculty · London

Sets technical direction for complex, business-critical AI projects in the life sciences team, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Balances speed, innovation and reliability while leading technical scoping for high-value sales opportunities and mentoring data scientists across the wider craft.

Faculty · Remote (UK)

Sets technical direction for complex, business-critical AI projects in the defence sector, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Balances speed, innovation and reliability while mentoring data scientists and acting as a trusted technical advisor to demanding clients. Requires UK Security Clearance eligibility and 2-4 days per week on-site with customers.

Faculty · Remote (UK)

Lead complex machine learning delivery and sector strategy within the Defence team, acting as a trusted technical authority. Own project scoping, technical selling and client management while writing production-grade code and mentoring data scientists. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.

Faculty · London

Lead original technical research in AI safety, steering projects from research question to publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code in PyTorch and Python.

Wayve · London

Owns the data strategy behind an end-to-end autonomous driving AI platform, spanning the full learning cycle from foundation model training to production programmes. Leads a multidisciplinary data organisation, deciding what data matters and building the flywheel from real-world signals through discovery, curation and enrichment. Focuses on finding rare, safety-critical scenarios in very large datasets using embeddings, semantic search and model-driven selection.

Wayve · London

Owns the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Defines the vehicle-operator contract, fallback/MRM behaviour and latency budgets, and leads cross-org execution across autonomy, safety, platform and product teams to support L4 operation.

Wayve · London

Owns the autonomy performance measurement framework for a public-scale robotaxi deployment, defining metrics, dashboards and release gates for an end-to-end learned driving system with no existing playbook. Runs the performance improvement loop across model, robot software, backend and evaluation tooling, leading cross-functional execution without direct reporting authority while staying hands-on in Python, C++ and SQL.

Wayve · London

Owns the architecture, strategy and integrity of safety cases for robotaxi and OEM ADAS products, defining top-level claims, argumentation structures and evidence traceability. Sits independently from Engineering and Product, providing expert challenge and oversight across AI/ML, systems, validation and operational safety. Requires deep safety-case and systems engineering expertise in safety-critical domains.