Future Tech Jobs
Future Tech Jobs
Latest UK roles, updated daily.
NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solutions Architect with deep expertise in Diffusion Models. You will work as the primary technical specialist for selected NVIDIA customers. Your task is to help our customers and make their solutions...
This role involves driving the adoption of NVIDIA's AI and accelerated computing technologies within telecommunications networks, focusing on cloud, edge, and datacenter deployments. The Solution Architect will lead technical aspects of complex projects, develop customer-specific solutions, and contribute to thought leadership through publications and training. Key responsibilities include supporting proof-of-concepts, responding to technical proposals, and bridging customer needs with NVIDIA's platform capabilities in AI, 5G/6G, and cloud-native environments.
Leads AI and data strategy across a large international organisation, driving digital transformation through machine learning, data science, and modern data platforms. Translates technical AI initiatives into measurable business outcomes while building scalable platforms and fostering a data-driven culture across commercial, operational, and technology teams.
This role involves designing and maintaining scalable cloud infrastructure for a machine learning-powered ID verification platform. The engineer will automate deployment pipelines, enhance system reliability, and collaborate with security teams to ensure robust, production-grade cloud environments. Emphasis is placed on innovation, mentorship, and continuous improvement within an Agile DevOps culture.
This role involves developing and scaling AI-driven physical foundation models for engineering simulation, bridging research and production. You'll work closely with scientists and engineers to transform prototypes into robust, distributed systems using high-performance computing and machine learning frameworks. The position emphasizes technical ownership, cross-functional collaboration, and real-world impact across advanced industries.
This role involves developing AI-driven physical foundation models for engineering applications, translating complex physics and engineering problems into mathematical formulations. You'll work on building and optimizing machine learning models—particularly deep learning and probabilistic methods—for high-dimensional spatiotemporal and geometric data, with direct application in advanced industries like Aerospace, Energy, and Semiconductors. The position emphasizes research ownership, collaboration with engineers and customers, and publishing impactful technical work.
This role involves designing and building scalable reinforcement learning (RL) post-training infrastructure that supports the full lifecycle of training, inference, and rollout across heterogeneous hardware. The engineer will contribute to open-source RL frameworks, optimize distributed systems performance, and collaborate with research and hardware teams to advance AI capabilities. Key challenges include fault tolerance, elastic scaling, and efficient coordination of models across large-scale GPU, CPU, and LPU environments.
This role involves designing and building scalable reinforcement learning (RL) post-training infrastructure that supports the full lifecycle of training, inference, and rollout across heterogeneous hardware. You'll optimize distributed systems for performance, fault tolerance, and efficiency, working closely with AI researchers and contributing to open-source frameworks like VeRL, Miles, and TorchTitan. The role emphasizes deep collaboration across teams to advance AI capabilities through systems innovation.
This role involves designing and building scalable reinforcement learning post-training infrastructure that operates efficiently from single-GPU experiments to large-scale distributed systems. You'll optimize training-inference-rollout loops across heterogeneous hardware, contribute to open-source RL frameworks like VeRL and TorchTitan, and collaborate with AI researchers and infrastructure teams to improve distributed runtimes such as Ray and Monarch. The position emphasizes fault tolerance, elastic scaling, and integration with next-generation hardware and deep learning tools.
This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies, with a focus on path tracing and neural graphics. The engineer will develop and optimize AI models and rendering algorithms, contribute to next-gen GPU architecture direction, and create technical demonstrations. Work includes profiling, tuning, and presenting innovations at conferences.
This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies like path tracing and neural graphics. You'll develop and optimize AI models and rendering algorithms, work closely with NVIDIA's architecture teams, and contribute to next-gen GPU features. The role also includes creating technical demos, publishing research, and presenting at conferences to drive adoption of cutting-edge visual computing and AI in gaming.
This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies, particularly in path tracing and neural graphics. The engineer will develop and tune AI models and rendering algorithms, work closely with NVIDIA's architecture and driver teams, and create technical demonstrations using cutting-edge GPU technology. Responsibilities also include profiling, optimization, and presenting research at industry conferences.
This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies such as path tracing and neural graphics. The engineer will develop and tune AI models and rendering algorithms, work closely with NVIDIA's architecture and driver teams, and contribute to next-generation GPU innovations. Responsibilities include building technical demos, profiling performance, and presenting research at conferences.
Work with top AAA game developers to optimize GPU performance and advance real-time rendering using path tracing and neural graphics. Develop and tune AI models and rendering algorithms, collaborate on next-gen GPU architecture, and create technical demonstrations and publications. Engage in low-level optimization and present findings at industry conferences.
As a Senior HPC DevOps Engineer, you will design and maintain large-scale HPC and AI clusters, implement infrastructure as code, streamline CI/CD pipelines, and automate complex networking and operational tasks. You will collaborate with HPC, OS, GPU compute, and systems specialists to drive innovation and improve workflows.
