This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work with the latest GPU and deep learning technologies, collaborate with HPC and systems specialists, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities.
This role involves applying clinical expertise to evaluate and shape advanced generative AI systems in healthcare contexts. Fellows will design clinical scenarios, assess AI decision-making for safety and accuracy, and contribute to research publications. The position emphasizes interdisciplinary collaboration, structured feedback, and advancing human-centered AI in real-world medical applications.
This role involves collaborating on high-impact AI research projects by designing domain-specific challenges and datasets to evaluate advanced generative AI systems. Fellows contribute expert insights to improve model reasoning and performance, co-author technical publications, and engage with a global network of leading researchers. The position is research-intensive, interdisciplinary, and focused on advancing human-centered AI through applied, domain-driven evaluation.
This role involves leading the development and deployment of AI-driven solutions across Citi's Fund Services lifecycle, from client onboarding to reporting. The Product Manager will drive AI use cases from prototype to production, working closely with engineering and operations teams to transform manual processes into intelligent, automated systems. Key focus areas include intelligent document processing, proactive controls, agentic AI, and enhancing client experience through cutting-edge AI technologies.
This role involves building and scaling the voice systems at the core of ElevenLabs, focusing on backend architecture, data models, and production systems. Responsibilities include modernising voice architecture, ensuring reliability of voice cloning pipelines, and developing voice creation and verification capabilities.
The role involves conducting advanced research in hardware-accelerated custom computing, specifically contributing to the RIGOLETTO project, a European initiative developing an open RISC-V platform for software-defined vehicles. You will work with academic and industrial partners, focusing on FPGA design, CPU architectures, and RISC-V design/prototyping.
This role involves leading a team of four to drive technology innovation, assess and implement emerging technologies, and translate business strategy into actionable roadmaps. The focus is on improving efficiency, advancing capabilities, and ensuring resilience across the business.
SENIOR PYTHON SOFTWARE ENGINEER - SC / DV CLEAREDNEW PERMANENT OPPORTUNITY AVAILABLESalary: Up to £100,000 baseLocation: LondonWorking Pattern: Hybrid - 2-4 days per week on-siteClearance: Active SC or DVType: PermanentI'm currently working with an organisation delivering innovative AI and software...
This PhD project focuses on developing an AI-enabled digital twin framework to support circular retrofit decision-making in public buildings. The research will integrate building condition data, asset records, and lifecycle information to identify opportunities for extending component life and reducing waste during refurbishment projects.
Design and build software to manage large-scale GPU infrastructure supporting ChatGPT inference workloads. Develop internal platforms, automation tools, and AI-powered agents to improve fleet observability, reliability, and operational efficiency across thousands of GPUs. Collaborate with research, platform, and systems teams to optimize compute utilization and scalability.
As a Staff Robotics Engineer, you will lead the technical direction and delivery of fault detection and fallback systems for driverless vehicles. You will collaborate with machine learning experts, design robust systems, and integrate them into the shared driving stack, ensuring the overall robustness of the robot system.
Develop and apply machine learning models to link DNA sequence and regulatory elements to functional outcomes in disease contexts. Integrate genomic data with transcriptomic and epigenomic datasets to uncover disease mechanisms and support target discovery. Collaborate closely with experimental teams to validate predictions and guide research in a highly interdisciplinary environment.
This role involves owning the end-to-end ML compilation pipeline for Wayve's autonomous driving technology, working with NVIDIA TensorRT and Qualcomm QNN. Responsibilities include designing and implementing compiler passes, ensuring accuracy and latency, and collaborating with model and training teams.
This PhD position focuses on developing an AI agent to detect and manage heat stress in cattle barns. The role involves designing and implementing machine learning models, integrating sensor data, and providing actionable recommendations to farmers.
