Latest AI Security Institute Jobs

NVIDIA logo

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA
NVIDIA logo

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that interprets relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on high-impact applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance graph learning and relational reasoning in enterprise AI.

NVIDIA
Wayve logo

Staff Robotics Engineer

Develop and optimise calibration and estimation software for autonomous vehicles, focusing on robustness, efficiency, and integration within constrained, hardware-accelerated platforms. Work across sensor data pipelines, state estimation, and fleet-wide observability to enhance vehicle performance and safety.

Wayve United Kingdom
Wayve logo

Technical Lead Manager, Synthetic Data

Lead a team of machine learning engineers to develop and scale synthetic data generation using generative world models like GAIA for autonomous driving research. Focus on rig and pose transfer, scalable generation infrastructure, and integrating synthetic data into training pipelines to reduce reliance on real-world data collection. Work closely with researchers and engineers to validate impact on driving model performance.

Wayve London, United Kingdom

[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
NVIDIA logo

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
NVIDIA logo

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
NVIDIA logo

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
NVIDIA logo

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
NVIDIA logo

Senior Developer Relations Manager - Manufacturing

This role focuses on growing NVIDIA's developer ecosystem in the manufacturing sector across EMEA. You'll engage with developers, ISVs, and system integrators to drive adoption of AI and accelerated computing platforms through technical enablement, co-innovation, and solution design. The position emphasizes hands-on support for use cases like robotics, digital twins, and industrial AI, bridging field insights with internal product teams.

NVIDIA
NVIDIA logo

Senior Developer Relations Manager - Manufacturing

This role involves driving adoption of NVIDIA's AI and accelerated computing platforms within the manufacturing sector across EMEA. The Senior Developer Relations Manager will engage with developers, ISVs, startups, and industrial enterprises to build technical solutions in areas like robotics, digital twins, and computer vision. Responsibilities include creating reference architectures, enabling partners through workshops and code samples, and acting as a bridge between the developer community and NVIDIA's internal teams to influence product development.

NVIDIA
NVIDIA logo

Senior Developer Relations Manager - Manufacturing

Drive adoption of NVIDIA's AI and accelerated computing platforms across the EMEA manufacturing sector by engaging developers, ISVs, and industrial enterprises. Develop technical enablement content, support partner integrations, and act as a bridge between the developer community and internal engineering teams. Focus on real-world applications including robotics, digital twins, computer vision, and predictive maintenance in industrial environments.

NVIDIA
NVIDIA logo

Senior Developer Relations Manager - Manufacturing

This role involves driving adoption of NVIDIA's AI and accelerated computing platforms within the manufacturing sector by engaging developers, ISVs, startups, and industrial enterprises. The individual will design technical enablement materials, support partners in integrating NVIDIA technologies, and act as a bridge between the developer community and internal engineering and product teams. Focus areas include robotics, digital twins, simulation, computer vision, and industrial AI, with an emphasis on real-world implementation and ecosystem growth.

NVIDIA
NVIDIA logo

Senior Solutions Architect, Higher Education and Research

This role involves partnering with academic and research institutions to advance AI and accelerated computing initiatives, focusing on multimodal and physical AI. The Solutions Architect will guide researchers in integrating NVIDIA's full technology stack, from GPUs to software frameworks, into high-impact scientific projects. Responsibilities include hands-on technical engagement, training delivery, and translating research needs into prototypical solutions while maintaining deep expertise in AI and computing architecture.

NVIDIA United Kingdom
NVIDIA logo

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 drive adoption of NVIDIA technologies by integrating frameworks into large-scale research projects, supporting publications, and delivering technical training. Key responsibilities include prototyping solutions, mentoring researchers, and providing feedback to engineering teams based on emerging trends in LLMs and open models.

NVIDIA Cambridge, United Kingdom