Develop automated tools for large-scale data analysis, vulnerability research, and exploit development. Investigate 0-day and n-day vulnerabilities by analyzing patches, malware, and system logs. Collaborate across teams to support threat intelligence and publish findings in blogs or conferences.
Conducts advanced vulnerability research and exploit development, analyzing patches and malicious artifacts to identify 0-day and n-day vulnerabilities. Develops automated tools for large-scale data analysis and collaborates across teams to publish findings and support threat intelligence efforts. Focuses on reverse engineering, proof-of-concept creation, and rapid response to emerging threats.
This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on MLOps pipelines, distributed training, and inference optimization. The engineer will act as a technical advisor to both internal and external customers, diagnosing full-stack AI/ML system issues and contributing to open-source tools and reference architectures. A strong emphasis is placed on performance tuning, scalability, and deep collaboration with infrastructure and framework teams to advance AI capabilities.
Act as a technical advisor to academic and research partners, driving adoption of NVIDIA's AI and accelerated computing technologies. Collaborate on large-scale research projects involving LLMs, integrate NVIDIA software stacks into workflows, and deliver training and technical content. Bridge research needs with NVIDIA's capabilities while contributing feedback to engineering teams.
Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.
Lead business development and delivery for AI-driven simulation software within aerospace and defense, driving customer acquisition, shaping go-to-market strategy, and managing technical execution. Engage with senior engineering leaders, scope and deliver high-impact projects, and translate customer needs into product evolution. This hybrid role blends strategic sales with hands-on technical leadership and regular travel to customer sites.
Build and scale distributed web crawlers to source high-quality, multilingual data from the open web for training frontier AI models. Design targeted pipelines for audio, video, and text, and develop tooling for researchers to monitor and access crawled data efficiently. Focus on reliability, content extraction, deduplication, and compliance at web scale.
This role involves building and maintaining large-scale data infrastructure to support cutting-edge AI models, with a focus on data pipelines, curation strategies, and tooling for training high-quality models. The engineer will work on data processing, filtering, and transformation systems, as well as develop classifiers and labeling models to improve data quality. The position emphasizes autonomous problem-solving and close collaboration with research teams in a fast-paced, AI-first environment.
This role involves developing patient-specific models using machine learning to predict disease states and treatment responses for cardiovascular digital twins. The postholder will work with multimodal clinical, physiological, imaging, and sensor data to enable AI-driven precision treatment.
Design and deploy secure, scalable cloud infrastructure for AI and machine learning workflows using AWS and Azure. Enable data scientists and ML engineers through infrastructure-as-code, reusable libraries, and best practices. Work cross-functionally to solve complex technical challenges in life sciences and other sectors.
This role involves overseeing and supporting the delivery of high-quality financial information, including wealth and investment reporting, corporate governance, and business improvement. The candidate will also play a key role in improving systems, processes, and technology, including the introduction of automation and Microsoft 365 solutions.
The Senior Channel Manager will lead the development and execution of Tesco Media's Connected Store channel, focusing on in-store media innovations such as digital screens and experiential activations. The role involves driving end-to-end innovation projects, defining measurement frameworks, and collaborating with cross-functional teams and external partners to deliver data-driven, commercially impactful retail media solutions.
Design and engineer functional proteins using proprietary generative AI models, bridging machine learning and experimental validation teams. Analyze structural biology and sequence data to generate and refine protein designs, then collaborate closely with wet lab scientists to test and iterate on results. Contribute to model improvement, data systems, and scientific knowledge sharing in a high-impact synthetic biology environment.
Develop and deploy generative AI models in customer environments within the biotech and pharmaceutical sectors. Collaborate with interdisciplinary teams to adapt and optimise proprietary models, build production-grade API integrations, and deliver scientific value through technical deployment and customer engagement. Focus on performance, reliability, and translating research into real-world applications.
This role involves leading end-to-end data science projects to enhance customer personalisation for major retail clients like Tesco UK. You'll design and deploy machine learning solutions using large-scale transactional data, conduct A/B testing, and translate complex insights for both technical and business audiences. The role emphasizes innovation, collaboration with high-impact teams, and deploying scalable data products in a fast-paced environment.
