Future Tech Jobs
Future Tech Jobs
Latest UK roles, updated daily.
NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens...
This role involves collaborating with NVIDIA teams and external customers to deploy, debug, and optimize large-scale AI training and inference workloads on GPU clusters. The architect will focus on performance analysis, bottleneck identification, and scaling solutions across complex HPC environments, particularly in support of Europe’s Sovereign AI initiative. Expertise in parallel computing, distributed systems, and deep understanding of AI frameworks and GPU architectures are central to the position.
This role involves solving complex performance and scalability challenges for AI and high-performance computing workloads on large-scale GPU clusters. The Senior Solutions Architect will collaborate with internal teams and external customers to optimize training and inference pipelines, debug system-level issues, and support the adoption of cutting-edge NVIDIA technologies across Europe. Expertise in distributed systems, parallel computing, and deep understanding of AI frameworks and infrastructure are central to the role.
As a Senior Software Architect, you will focus on improving communication performance in large-scale GPU clusters, designing and implementing new communication technologies, and exploring innovative solutions for next-generation platforms. You will work closely with GPU, networking, and software architects to advance the state-of-the-art in AI and HPC.
This role involves collaborating with NVIDIA teams and external customers to deploy, debug, and optimize large-scale AI training and inference workloads on NVIDIA GPU clusters. The engineer will focus on performance analysis, bottleneck identification, and scaling solutions across HPC and AI infrastructure, particularly within Europe’s Sovereign AI context. Expertise in distributed systems, parallel computing, and deep understanding of GPU-accelerated frameworks are central to the position.
This role involves collaborating with NVIDIA teams and external customers to deploy, debug, and optimize large-scale AI training and inference workloads on GPU clusters. The candidate will focus on performance benchmarking, bottleneck identification, and scaling AI workloads efficiently on cutting-edge NVIDIA infrastructure. A strong technical background in HPC, parallel computing, and deep understanding of AI frameworks and system architecture is essential.
This role involves solving complex technical challenges at the intersection of High Performance Computing and AI, focusing on deploying, debugging, and optimizing large-scale GPU-accelerated training and inference workloads. The Senior Solutions Architect will collaborate with internal teams and external customers across Europe, providing deep technical expertise to improve performance, scalability, and resiliency on NVIDIA's latest GPU platforms. A key focus includes supporting Europe’s Sovereign AI initiatives and advancing inference and training pipeline efficiency on thousands of GPUs.
As a Senior Software Architect, you will co-design next-gen data center platforms and scalable communications software for Deep Learning and HPC applications. You will investigate performance bottlenecks, design and implement new communication technologies, and explore innovative solutions in hardware and software, working closely with GPU, networking, and software architects.
As a Senior Software Architect, you will focus on improving communication performance in large-scale GPU clusters, designing and implementing new communication technologies, and exploring innovative solutions for next-generation platforms. You will work closely with GPU, networking, and software architects to advance the state-of-the-art in AI and HPC.
As a Senior Software Architect, you will co-design next-generation data center platforms and scalable communications software for Deep Learning and HPC applications. You will investigate performance bottlenecks, design and implement new communication technologies, and collaborate with GPU, networking, and software architects to push the boundaries of AI and HPC performance.
This role involves collaborating with NVIDIA teams and external customers to deploy, debug, and optimize large-scale AI training and inference workloads on advanced GPU infrastructure. The Senior Solutions Architect will focus on performance analysis, bottleneck identification, and scaling AI pipelines efficiently across distributed GPU clusters, with a strong emphasis on HPC principles and emerging challenges in MOE models and disaggregated inference. Expertise in parallel computing, CUDA, and deep understanding of AI frameworks are central to the position.
We are looking for an experienced Business Intelligence Engineer to play a pivotal role in owning complex analytics and serving as a organizational thought leader for BIEs, BAs, and business users on the team to help drive the growth of...
This role involves joining a technology team before the launch of a new software application for the architecture and building design sector. You'll work closely with developers during final development stages, gain deep product knowledge, resolve bugs, develop features, and contribute to AI-powered enhancements using modern AI-assisted tools. The position blends development, technical support, and innovation in a hybrid or remote UK-based setup.
This role involves designing enterprise-scale data platforms and cloud architectures in collaboration with clients, translating business goals into technical data strategies. The Data Architect will shape governance frameworks, advise on modern technologies like data lakes and AI-enabled systems, and work closely with engineers and senior stakeholders. It's a hands-on position focused on delivering impactful data transformations within regulated sectors, particularly financial services.
Design and implement AI-driven agents and automations within Microsoft 365 using Copilot and Power Platform tools to streamline internal business processes. Translate business requirements into functional solutions, working closely with stakeholders to prototype, test, and refine AI workflows across Teams, SharePoint, Excel, and Outlook. Focus on practical, user-centred implementation in a collaborative internal team.
