Artificial Intelligence Jobs

• United Kingdom
• Remote
• Senior

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.

JAX · PyTorch · TensorFlow +4

• United Kingdom
• Remote
• Senior

Lead architecture for cloud-networking, defining system architecture for DPUs and NICs across orchestration, provisioning, security and SDN. The role spans application to hardware level, writing architecture specifications and building POC prototypes, while working with global SW/HW architects, R&D and high-profile customers.

DPDK · OVS · OVN +7

• United Kingdom
• Remote
• Senior

Senior consultants join the CrowdStrike Services team to lead front-page incident response investigations for Fortune 100 organisations, conducting intrusion investigations under project leadership and outside counsel. The role involves host and network forensics across Windows, Mac and Linux, threat hunting across large data sets, and producing written and verbal findings for customers, regulators and legal counsel.

CrowdStrike · Bro/Zeek · Suricata +6

• Spain
• Remote
• Senior

Senior technical consultant conducting front-page incident response investigations for Fortune 100 clients, hunting adversaries across large data sets and performing host and network forensics on Windows, Mac and Linux. Works under project leadership and outside counsel, producing written and verbal findings for executives, regulators and legal counsel.

CrowdStrike · Bro/Zeek · Suricata +6

• London
• Hybrid
• Senior

Gatekeeper for EMEA data center deals from desktop review through LOI to lease execution, spending roughly 75% of time on preconstruction and pre-lease diligence and 25% on delivery. Independently tests developer schedules, costs, power and permitting against source documents, shapes delivery terms with legal and transaction teams, and embeds with partners on site to drive accelerated build schedules.

Claude

• 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

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and grow a London-based engineering team building real-time safety and oversight systems for AI agents, including the Auto-review permission-boundary model. The role blends hands-on technical work—shaping architecture, reviewing designs, debugging, and coding—with hiring, coaching, and setting the operating cadence. It is highly cross-functional, partnering with alignment researchers, product, security, and infrastructure teams.

OpenAI

• London
• Hybrid
• Mid-level
• Permanent

Design, build and operate core components of the Auto-review and Guardian platform, evaluating agent actions in real time to detect harmful behaviour and support safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers, product, security and infrastructure teams to make agent safety a foundational capability.

OpenAI

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and data infrastructure for training and running ML models. Day to day centres on coaching and hiring engineers, owning roadmap and prioritisation, and guiding Kubernetes scheduling, capacity planning and storage decisions across heterogeneous GPU fleets.

Kubernetes · Kueue · Nvidia Hopper +2

• London
• Hybrid
• Senior
• Permanent

Hands-on role optimising inference for edge accelerators and GPUs so large transformer models run efficiently on low-cost, low-power in-vehicle compute. You'll profile model graphs, compiler/runtime behaviour and kernel execution, implement optimisations like fusion, scheduling and custom kernels, and build benchmarking and regression tests across NVIDIA Orin/Thor and Qualcomm targets, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +6

• London
• On-site
• Lead · manages people
• Permanent

Hands-on engineering lead owning the path from AI agent task to healthy deployed change, building secure reproducible agent runtimes, verification tooling, and developer interfaces. Recruits and leads a new developer productivity team while working across Developer Tools, Security, Simulation, and robot software to cut cost and review time per accepted change.

Kubernetes · Linux

• London
• Hybrid · 2–3 days in office
• Mid-level

Builds the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develops solvers and numerical methods in differentiable or GPU-native frameworks such as JAX or NVIDIA Warp, using commercial and open-source CFD tools for reference data. Works in a research team alongside ML researchers, shaping data generation strategy and fidelity tradeoffs.

JAX · NVIDIA Warp · OpenFOAM +2

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setup requiring three office days a week.

Kubernetes · Google Cloud Platform · GCP

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

Join a newly formed Scheduling team to own and extend systems that orchestrate compute allocation for complex ML workloads on Kubernetes. You'll design scheduling policies like gang scheduling and topology-aware placement, build custom Kubernetes controllers and CRDs, and partner with ML researchers to maximize GPU/TPU utilization.

Kubernetes · Kueue · Volcano +5

• Singapore

First technical responder for enterprise customers and internal platform users, owning issues from triage and first-pass investigation through resolution or high-quality escalation. Debugs inside Kubernetes clusters using Linux, Helm, GitOps (Argo CD) and cloud fundamentals, working across SaaS, VPC and air-gapped deployments while writing runbooks and shaping a new support function.

Kubernetes · EKS · AKS +7