This role involves developing event-triggered cloud computing architectures and performance models to predict financial market risks. You will collaborate with AI model designers and contribute to publications, seminars, and a proof-of-concept implementation for the Bank of England.
Conduct research in reinforcement learning and guided search for agentic AI systems, focusing on scalable training methods, web-scale data mining, and efficient model distillation. Work closely with engineering teams to translate research into production AI capabilities, using JAX and distributed training frameworks. Publish findings and contribute to cutting-edge advancements in reasoning models and agent-based systems.
This role involves designing and building agentic search systems—retrieval and ranking architectures optimized for AI agents rather than human users. You'll develop multi-stage, iterative retrieval workflows, ground LLMs in real-time web data, and define new evaluation metrics for machine-driven search under latency and scale constraints. The position emphasizes ownership of research direction, production impact, and collaboration with engineering to deploy high-throughput systems.
This role involves developing and optimizing components of a research and trading platform, working closely with quant researchers and portfolio managers. Responsibilities include building scalable tools for data analysis, performance tuning, and supporting model development, with a focus on Python and data pipelines.
A Solutions Consultant in Higher Education and Research at Palo Alto Networks provides technical leadership in shaping customer security transformations, translating complex cybersecurity solutions into strategic business value. The role involves deep discovery, solution design, and technical validation across the full PANW portfolio, with a focus on cloud, network, and SOC security. Collaboration with cross-functional teams ensures successful implementation and customer adoption in complex, multi-product sales environments.
Act as a technical advisor to academic and research partners, driving adoption of NVIDIA's AI and HPC technologies by integrating accelerated computing solutions into large-scale research projects. Focus on LLMs and open models, delivering training, co-developing prototypes, and translating research needs into engineering feedback. Role involves collaboration with leading institutions and contributing to high-impact scientific outcomes through publications and joint innovation.
This role involves working on complex distributed systems and infrastructure for leading quantitative trading firms. Responsibilities include large-scale distributed compute, scheduling, storage, real-time event-driven systems, and high-throughput messaging. The position offers significant ownership and impact in a high-performance environment.
As Principal Site Reliability Engineer, you will lead the establishment and growth of Genomics England's SRE capability. Responsibilities include building a team, improving platform reliability, defining standards, and embedding SRE principles across the organization. You will work closely with product and engineering teams to enhance operational resilience and reliability.
You will work on building and operating the infrastructure and compute platforms for the Isambard-AI supercomputing centre, using tools like Python, Rust, Kubernetes, and Terraform. The role involves designing and operating large-scale GPU and CPU/GPU workloads, and collaborating closely with researchers to develop and optimize new algorithms and software for cutting-edge research.
This role involves setting technical direction and influencing data engineering standards across complex, regulated, national-scale clinical and research platforms. The Principal Data Engineer will lead the design and delivery of large-scale data solutions, ensuring they meet strict governance, privacy, and security requirements while mentoring experienced data engineers and driving adoption of modern engineering practices.
This role involves working closely with leading AI research institutions and model builders across EMEA to design and optimize large-scale AI training and post-training workflows. The individual will act as a technical advisor on distributed training, reinforcement learning, and model alignment, leveraging NVIDIA's full software stack including Megatron-LM, NeMo, and Nemotron. They will also influence product development by translating customer feedback into roadmap input and contribute to community engagement through technical events and demonstrations.
This role involves securing Windows and Linux environments, enhancing endpoint security, implementing cloud security controls in Azure, and embedding security in the SDLC. You'll work closely with software engineers, infrastructure teams, and investment technology groups to build and mature security capabilities across multiple domains.
Design and develop scalable software platforms and backend services that support scientific research and computational workflows. Automate experimental processes, manage scientific data systems, and build full-stack applications using Python, JavaScript/TypeScript, and React. Work extensively with AWS, containerisation (Docker, ECS/Kubernetes), Infrastructure as Code, and observability tools to deliver reliable, cloud-native solutions in close collaboration with scientists and technical teams.
This role involves designing and managing IT infrastructure to support research, engineering, testing, and laboratory operations. The specialist will work closely with technical teams to deploy and maintain secure, high-performance environments for innovation and product development, with a focus on uptime and operational resilience. Key responsibilities include infrastructure automation, cybersecurity, project leadership for new lab setups, and integration of scientific instrumentation and data platforms.
As a Principal AWS Cloud Engineer, you will define and drive cloud strategy, architect resilient and secure AWS-based solutions, and provide technical direction across multiple engineering teams. You will mentor engineers, manage complex AWS environments, and contribute to codebase and CI/CD pipelines.
