Latest Distributed Ledger Jobs

Platform Professional Services Sr. Consultant , ESP)

This role involves deploying and optimising CrowdStrike’s AI-powered threat detection and response capabilities on the Falcon platform. The consultant will configure machine learning models, develop automation playbooks, integrate AI workflows with existing security tools, and provide technical guidance to customers and internal teams. The position requires deep expertise in AI/ML applications for cybersecurity, scripting with Falcon APIs, and troubleshooting across enterprise environments.

CrowdStrike Spain

Remote Permanent

Platform Professional Services Sr. Consultant , ESP)

This role involves deploying and optimising CrowdStrike’s AI-powered threat detection and response capabilities for enterprise customers. The consultant will configure machine learning models, develop automation playbooks, troubleshoot AI-driven alerts, and integrate Falcon’s AI features into existing security workflows. A strong focus is placed on enhancing detection efficacy, reducing false positives, and leading AI skills development within the services team.

CrowdStrike

Remote Permanent

Senior HPC and AI Network Software Architect

Design and evolve scalable software systems for distributed AI training and inference, focusing on communication efficiency, runtime performance, and hardware-software co-design across GPU, DPU, and interconnect technologies. Develop and optimize libraries like NCCL, UCX, and UCC, and collaborate with AI framework and platform teams to enable high-performance, large-scale AI workloads. Drive innovation in system-level capabilities for next-generation AI infrastructure.

NVIDIA PLN 221,250 – PLN 507,000 pa

Senior Compiler Engineer

Design and optimize compiler software for NVIDIA's Grace CPUs, focusing on performance-critical AI and HPC workloads. Collaborate with global teams and upstream open-source communities to enhance the GNU Toolchain. Contribute to next-generation CPU architecture development and compiler infrastructure improvements.

NVIDIA

On-site Permanent

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on reliability, performance optimization, and debugging across hardware, networking, and training dynamics. The engineer will run experiments to improve training efficiency, respond to incidents during model launches, and collaborate closely with research and systems teams. It’s a high-impact, operational role blending deep technical engineering with empirical research in a fast-paced, safety-focused AI environment.

Anthropic London, United Kingdom £260,000 – £630,000 pa

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues that emerge at scale, and translate validated research findings directly into production training pipelines. The position sits at the intersection of research and systems engineering, requiring deep empirical rigor and close collaboration with both research and infrastructure teams.

Anthropic London, United Kingdom £375,000 – £640,000 pa

Senior Software Engineer, AI Inference Systems

Design and optimize high-performance AI inference systems for large-scale models using cutting-edge GPU hardware. Develop and enhance inference frameworks like vLLM, implement advanced parallelism techniques, and contribute to compiler and kernel optimization. Collaborate across teams to improve performance across multi-GPU and multi-cloud environments, with opportunities to publish research and influence industry benchmarks.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior CPU Compiler Performance Engineer

This role involves developing high-performance CPU compilers for NVIDIA's next-generation computing platforms, with a focus on AI and HPC workloads. You'll work on hardware-software co-design, optimising compiler toolchains for NVIDIA CPUs like Grace, and contributing to open-source projects such as LLVM and GCC. Collaboration with pre-silicon teams and upstream communities is central to improving performance across data centres and supercomputing environments.

NVIDIA

Senior CPU Compiler Performance Engineer

This role involves developing and optimizing compiler software for NVIDIA's CPUs, with a focus on performance in AI and high-performance computing workloads. You'll work on hardware-software co-design, contribute to open-source compiler projects like LLVM or GCC, and collaborate with distributed teams to improve compiler toolchains. The position is central to advancing NVIDIA's next-generation computing platforms in data centers and supercomputing environments.

NVIDIA

Senior CPU Compiler Performance Engineer

This role involves developing high-performance CPU compilers for NVIDIA's Grace CPU architecture, focusing on hardware-software co-design to optimise AI and HPC workloads. You'll work on compiler optimisation, contribute to open-source projects like LLVM and GCC, and collaborate with distributed teams to improve performance across data centre and supercomputing environments. The position plays a key role in advancing next-generation computing technologies through deep technical innovation.

NVIDIA

Anthropic Fellows Program

A 4-month, full-time fellowship program offering mentorship and funding for technical talent to conduct empirical AI research aligned with Anthropic’s priorities in AI safety, security, systems, reinforcement learning, or policy. Fellows work on a project with the goal of producing a public output such as a research paper, supported by Anthropic researchers and access to compute resources.

Anthropic United Kingdom

Anthropic Fellows Program, ML Systems & Reinforcement Learning

This role involves a 4-month, full-time research fellowship focused on ML systems and performance, with mentorship from Anthropic researchers. Fellows will work on empirical projects using external infrastructure to build scalable ML systems, debug training processes, and support high-performance computing environments. The program emphasizes collaboration, rapid implementation, and producing public research outputs such as papers.

Anthropic United Kingdom