Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves deep collaboration with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaboration with cross-functional teams and publishing original research are key aspects of this role.
Senior AI/ML Software Engineer (LLM Focus)Location: Guildford (office based role)Salary and benefits: £on experience + a truly outstanding package that includes an unrivalled holday entitlement.Role OverviewOur client has tasked us to source a talented Senior level AI/ML Software Engineer with...
This role involves developing advanced software solutions for complex systems using C++, with a focus on performance, functionality, and integration with engineering teams. The engineer will work across the full development lifecycle, including design, testing, and deployment, while contributing to technical documentation and code reviews. The position emphasizes high-performance, multi-threaded applications and offers exposure to domains such as computer vision and data analysis.
As an AI Deployment Engineer, you will be responsible for building and maintaining the data infrastructure and system integrations that support AI deployments. You will work on data pipelines, API integrations, and production-grade solutions, ensuring reliable and scalable AI operations.
You will play a senior technical role in the development of wearable sensing hardware and embedded AI for human-centred industrial applications. The role focuses on industrial-grade surface electromyography sensors, multimodal AI, and adaptive human–machine interfaces designed to improve worker safety,...
Develop and optimize machine learning and computer vision algorithms for real-world perception and intelligence systems. Work on end-to-end development, from data analysis and model experimentation to deployment and workflow automation. Collaborate across teams, mentor colleagues, and contribute to best practices in a technically advanced engineering environment.
This role involves delivering technical training and coaching for Multiverse's Level 4 DevOps apprenticeship programme, focusing on continuous integration, delivery, and infrastructure solutions. The instructor will lead online workshops, assess assignments, and support apprentices in developing practical DevOps skills aligned with industry standards. Emphasis is placed on creating an engaging, inclusive learning environment and fostering apprentice success through consistent feedback and collaboration with coaching teams.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. You'll collaborate with AI researchers and leaders to build efficient, future-proof models and tools that bridge the gap between numerical computing and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build future-proof models and tools that enhance the efficiency of AI systems, bridging the gap between cutting-edge research and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build efficient, future-proof models and tools that bridge the gap between numerical computing and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build advanced models and tools that enhance the efficiency of AI systems, bridging the gap between cutting-edge research and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize deep learning frameworks. You'll work with AI researchers to build efficient, future-proof models and tools that bridge the gap between research and real-world applications.
