As a Solutions Architect, you will lead technical discovery and build reference architectures for enterprise-ready agentic AI products on the NVIDIA stack. You will collaborate with partners to develop proofs of concept, optimize workloads, and create reusable assets like benchmark reports and playbooks.
As a Solutions Architect, you will lead technical discovery and build reference architectures for AI application wrappers, orchestrating agents, and specialized workflows using NVIDIA's stack. You will work closely with partners to develop enterprise-ready agentic AI products, optimize workloads, and create reusable enablement assets.
This role involves designing and building scalable data platforms using Databricks, SQL, and modern cloud technologies. You will work closely with stakeholders to transform complex data challenges into innovative solutions, driving data-driven decision-making and AI adoption across the organisation.
This PhD studentship focuses on developing a computational framework that combines computer vision, computer graphics, and machine learning to improve the design and simulation of camera lenses. The project aims to create a system for both forward simulation and inverse design, accelerating the lens design process and enhancing image quality.
This role involves teaching, research, and academic leadership in the field of digital health and AI. Responsibilities include co-leading the Introduction to Digital Health module, contributing to curriculum development, supervising Master’s dissertations, and developing an independent research programme with a focus on responsible and equitable innovation.
This role involves developing an AI platform to generate and predict properties of novel peptide sequences, working closely with AstraZeneca and Queen Mary University of London. The position is based at AstraZeneca's Discovery Centre in Cambridge, with periodic travel to DERI for research and training.
This role involves leading research on Bayesian methods for AI evaluation and monitoring, publishing findings, developing open-source software, and guiding research assistants and students. The position is based in the Bayesian Governance Lab at the University of Oxford, focusing on dynamic AI systems and their governance.
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 teaching and conducting research in AI/Robotics for aircraft maintenance, low-altitude economy, and satellite and space engineering. The appointee will publish in top-tier journals, attract research funding, and supervise student projects.
Design and implement production-grade AI and ML systems, focusing on Agentic AI, RAG, and LangChain/LangGraph patterns. Establish engineering standards, improve observability and model risk controls, and drive adoption across engineering teams. Work within a regulated environment to enable safe, scalable AI solutions in production.
You will develop intelligent embedded systems using Python, C, and C++, apply machine learning and computer vision to real-world applications, and work with microcontrollers, sensors, and connected hardware. You'll collaborate directly with clients to shape and deliver innovative solutions, taking projects from concept to finished product.
This role involves building and maintaining backend applications using Node.js, developing APIs and database services, and integrating with banking and payments systems. You will also work on AI features like intelligent assistants and process automation, collaborating closely with product, design, and engineering teams.
This role involves leading research and development of generative AI systems for cybersecurity applications, focusing on large language models and deep learning. The candidate will architect AI strategies, build production-grade systems at massive scale, and guide technical innovation across the organization. They will also mentor teams and contribute to thought leadership through publications and cross-functional collaboration.
This role involves leading research strategy and technical innovation in generative AI for cybersecurity, focusing on applying large language models and deep learning to detect and prevent breaches. The senior data scientist will architect production-grade AI systems at scale, mentor teams, and shape AI strategy through cross-functional collaboration. Work includes implementing cutting-edge AI research, optimizing GPU usage, and establishing evaluation frameworks within an AI-first security platform.
This role involves leading a team of Applied AI Architects to drive the adoption of Anthropic's AI products across Europe's fastest-growing tech companies. Responsibilities include managing the team, setting pre-sales standards, working with high-value customers, and representing Anthropic in the European tech community.
