Latest AI Security Institute Jobs

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated HPC and AI workflows for energy applications such as seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune CUDA applications, develop reference implementations, and collaborate with customers and internal teams to deliver performance improvements on multi-GPU and multi-node systems. Work includes deep performance analysis, benchmarking, and contributing to future NVIDIA product development through reusable code and libraries.

NVIDIA

Remote Permanent

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 real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to build a unified AI model for enterprise data.

NVIDIA Germany

On-site Permanent

Machine Learning Engineer, Driving Product

Develop and train end-to-end AI driving models for Level 2 to Level 4 automated driving systems, with ownership across the full lifecycle from data curation to on-road validation. Work on model architecture, training algorithms, and iteration planning to deliver production-grade embodied AI for real-world deployment in vehicles. Collaborate in high-ownership teams to ship intelligent, mapless driving solutions with direct impact on commercial products like Nissan integration and Robotaxi.

Wayve United Kingdom

Machine Learning Engineer, Performance Tooling

Builds performance analysis tools to optimize AI models across the full stack, from compilers to hardware. Measures, predicts, and advises on latency, throughput, and compute efficiency using profiling data. Works cross-functionally with model, runtime, and hardware teams to drive data-informed performance decisions.

Wayve United Kingdom

Principal Machine Learning Engineer

Develop and deploy machine learning models integrated with engineering simulation data, focusing on scalable pipelines and real-world deployment in high-fidelity physics environments. Work directly with customers to translate AI research into production-grade tools, using 3D data, time-series forecasting, and optimization models. Lead technical architecture, mentor teams, and travel on-site to support implementation across aerospace, energy, and advanced manufacturing sectors.

PhysicsX United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. You'll work directly with customers and data scientists to design end-to-end tools, develop RESTful APIs in Python, and deploy physics-based microservices on cloud infrastructure. The role emphasizes rapid prototyping, user feedback iteration, and distilling cross-domain solutions into reusable platform features.

PhysicsX United Kingdom

Research Engineer, Machine Learning (RL Velocity)

As a Research Engineer on the RL Velocity team, you will focus on building and improving the RL training infrastructure, identifying and removing bottlenecks, and partnering with researchers and engineering teams to enhance the efficiency and reliability of Anthropic's AI systems. This role involves high-leverage work that impacts the entire organization's ability to iterate and improve models quickly.

Anthropic London, United Kingdom £370,000 – £630,000 pa

Hybrid Permanent

Research Engineer, Pretraining

A Research Engineer on the Pretraining team will bridge cutting-edge AI research and large-scale systems engineering, focusing on advancing large language models through work in model architecture, training optimization, and data processing. The role involves deep collaboration across research and engineering, with hands-on contributions to the full stack—from low-level infrastructure to high-level model design. Key projects include optimizing attention mechanisms, scaling distributed training, and improving model interpretability.

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

On-site Permanent

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

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

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

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

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

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

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 researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include technical advocacy, hands-on training, prototyping solutions, and bridging research needs with product development through direct feedback to engineering teams.

NVIDIA Reading, United Kingdom