Latest AI Security Institute Jobs

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Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA
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Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA
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Machine Learning Engineer, Compiler

This role involves owning the end-to-end ML compilation pipeline for Wayve's autonomous driving technology, working with NVIDIA TensorRT and Qualcomm QNN. Responsibilities include designing compiler passes, integrating with vendor toolchains, and ensuring accuracy and latency requirements are met across various target platforms.

Wayve United Kingdom
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Engineering Manager, Runtime Platform, Robot Software

Lead and grow a new engineering team building the runtime foundations for an AI-driven vehicle system, including real-time middleware, performance optimization, and observability. Guide technical direction for low-latency embedded software while fostering team development and cross-team collaboration. The role is central to enabling scalable, high-performance AI deployment across diverse vehicle platforms.

Wayve London, United Kingdom
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Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using Python, PyTorch, and cloud/on-prem infrastructure. Frequent international travel and on-site collaboration are key aspects of the role.

PhysicsX London, United Kingdom

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on performance optimization, debugging across hardware and training dynamics, and ensuring reliable, scalable model training. The position requires deep technical expertise in distributed systems and ML frameworks, with hands-on responsibilities during high-pressure model launches and a strong emphasis on operational reliability and cross-team coordination.

Anthropic London, United Kingdom £260,000 – £630,000 pa
On-site Permanent

[Expression of Interest] Research Engineer / Scientist, Alignment - London

This role involves conducting experimental research in AI safety and alignment, focusing on risks from advanced AI systems. You'll design and run machine learning experiments—such as testing safety robustness, developing control methods, and stress-testing alignment—to improve the reliability and steerability of AI. The work is highly collaborative, involving contributions to research papers and close coordination with teams like Interpretability and Fine-Tuning.

Anthropic London, United Kingdom £260,000 – £370,000 pa
Hybrid Permanent
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Senior Deep Learning Software Engineer, Inference

This role involves designing, optimizing, and maintaining high-performance deep learning inference software for large-scale AI models, particularly focusing on GPU-accelerated frameworks like vLLM and SGLang. The engineer will implement cutting-edge algorithms, improve model serving efficiency across NVIDIA's GPU architectures, and contribute to open-source inference libraries. Work includes performance tuning, cross-architecture scaling, and close collaboration with deep learning and framework teams.

NVIDIA Netherlands PLN 221,250 – PLN 507,000 pa
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Senior Deep Learning Software Engineer, Inference

Design and optimize high-performance deep learning inference software for NVIDIA's GPU-accelerated platforms, focusing on frameworks like vLLM and SGLang. Work on performance tuning of LLMs and generative AI models across datacenter and edge GPUs. Collaborate with open-source communities and internal teams to enhance model serving efficiency and scalability.

NVIDIA PLN 221,250 – PLN 507,000 pa
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Senior Solutions Architect – Large Scale Neural Networks Inference

Lead technical strategy for AI inference across EMEA by collaborating with AI-native customers and internal teams to solve challenges in latency, efficiency, and scalability. Design and optimize high-performance inference pipelines using NVIDIA's stack, including TensorRT-LLM and Dynamo, and translate real-world deployment insights into product improvements. Work at the intersection of research and engineering to advance large-scale neural network inference in production environments.

NVIDIA France
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Senior Solutions Architect, Higher Education and Research

Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate on high-impact research projects at supercomputing scale, integrate NVIDIA frameworks into scientific workflows, and deliver training and technical content. Bridge researcher needs with product development by prototyping solutions and providing feedback to engineering teams.

NVIDIA Reading, United Kingdom
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Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide large language model development across training, fine-tuning, and inference, while integrating NVIDIA's software stack into research workflows. Responsibilities include delivering technical training, mentoring researchers, and translating emerging research needs into prototypical solutions, with strong emphasis on collaboration and innovation in AI.

NVIDIA
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Senior Solutions Architect, Higher Education and Research - Open Models and LLM

Act as a trusted technical advisor to academic and research partners, driving adoption of NVIDIA's AI and accelerated computing technologies. Collaborate on large-scale research projects involving LLMs, integrate NVIDIA software stacks into workflows, and deliver training and workshops. Translate research needs into prototypical solutions and provide feedback to engineering teams.

NVIDIA
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Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide large-scale research projects, integrate NVIDIA's AI software stack into LLM workflows, and deliver technical training. Key responsibilities include driving innovation in foundation models, translating research needs into technical solutions, and providing expert mentorship to researchers and developers.

NVIDIA
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Senior Developer Relations Manager - Manufacturing

Act as a technical advocate and advisor for NVIDIA’s manufacturing developer ecosystem across EMEA, driving adoption of AI and accelerated computing platforms in industrial applications such as robotics, digital twins, and computer vision. Design and deliver technical enablement content including sample code, reference architectures, and workshops tailored to manufacturing use cases. Collaborate with engineering, product, and partner teams to guide integration, solve technical challenges, and influence product roadmaps based on developer feedback.

NVIDIA Switzerland