Artificial Intelligence Jobs

NVIDIA · Belfast

Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across internal teams and external partners on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms, guiding microarchitectural definition and open-source collaboration.

PhysicsX · New York, United States

Builds and automates high-fidelity electromagnetic models across low- and high-frequency applications, from chip and package design to EMI/EMC, using tools like HFSS, Maxwell and CST. Works at the intersection of CAE and data science, generating simulation data to train ML surrogates, collaborating with customers and mentoring junior engineers.

NVIDIA · Cambridge

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to develop advanced compiler features and contribute to next-generation compute platforms. Analyze real-world workloads to drive improvements in both compiler toolchains and future CPU architectures.

CrowdStrike · Reading

Owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, prevents malicious behaviour and streams telemetry to the cloud. Work spans architecture, design and delivery across file system, memory, process and networking subsystems, with shared components across Windows, Mac and Linux. Involves leading projects, mentoring and collaborating in a distributed team.

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.

Wayve · London

Leads complex, multi-team programmes across Level 2 and Level 4 autonomous driving products, translating product milestones into integrated cross-team schedules and delivery plans. Reviews technical progress, backlog health and system-level evidence to assess milestone readiness, managing dependencies and critical-path activities across engineering, product, safety and validation. Improves lifecycle-planning practices and tooling to surface risk earlier and deliver more predictably.

Faculty · London

Builds and scales client-facing web applications that translate complex machine learning insights into intuitive interfaces for government and public sector clients. Works across the product lifecycle with data scientists and designers, architecting reusable design systems and maintaining CI/CD and cloud deployment workflows while mentoring other engineers.

Wayve · London

Lead the technical architecture and roadmap for onboard localisation, designing and productionising state-estimation systems that fuse GNSS, IMU and wheel odometry for accurate vehicle pose estimates. The role spans algorithm design, prototyping, validation and deployment on real-time vehicle platforms, with hands-on technical leadership and mentorship across robotics, calibration, controls and sensor teams.

The Alan Turing Institute · London · £96,000 – £115,000 pa

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.

Deerfoot Recruitment Solutions · Didcot · £700 – £900 pd

Architect and build multi-agent AI systems end-to-end, combining frameworks like LangGraph or Haystack with bespoke orchestration, state management and tool-calling logic. Embed LLMs and vision-language models into live reasoning, search and task-execution workflows, deploying across cloud and on-premises environments with monitoring, evaluation and guardrail tooling. Set technical standards for agentic AI within the team, working with a biotech and pharma customer.

University of Oxford · Oxford · £49,119 – £58,265 pa

Develops and validates machine learning models for disease forecasting and simulation models for scenario exploration, using large-scale epidemiological, genomic and behavioural data. Builds decision-support tools and reproducible pipelines, integrating them into public health workflows with partners in Nigeria and the DRC through co-design workshops and training.

Faculty · London

Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while delivering bespoke algorithms and production-grade systems.

Multiverse · London

Owns end-to-end AI systems, building agents and the retrieval, memory and RBAC layers that make context permission-aware. Designs evaluation pipelines, tool integrations via MCPs and APIs, and influences architectural direction within a small, high-velocity cross-functional squad.

Medtronic · London · £76,800 – £115,200 pa

Designs, benchmarks and optimises deep learning models for computer vision and surgical video understanding, focusing on low-latency inference on edge and cloud devices. Works with ML, platform and embedded engineers on end-to-end video pipelines, using PyTorch, TensorRT and techniques like pruning and quantization. Distinct for its operating-room, safety-critical medical imaging context.

Hays Technology · London · £100,000 – £110,000 pa

Hands-on role building the backend services, APIs and data pipelines behind a new AI layer for an investment management firm's portfolio platform. Involves LLM applications such as agent workflows, tool use and RAG, plus security controls, automated tests, AI evaluations and monitoring of accuracy, latency and cost in production.