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 working with nonprofits, research institutes, and academic medical centers to deploy AI in clinical trials and drug repurposing for rare and neglected diseases. Responsibilities include designing and reviewing clinical trial protocols, building tools for drug repurposing, and developing reusable infrastructure.
This role involves serving as a technical advisor to enterprise customers adopting Anthropic's Claude AI, guiding them from initial evaluation through deployment. The Applied AI Architect will design scalable integration architectures, develop evaluation frameworks, and communicate technical concepts to both engineering teams and executives. Collaboration with Sales, Product, and Engineering teams is central to ensuring successful customer outcomes while upholding safety and reliability standards.
Lead the design and deployment of scalable AI and generative AI solutions, including LLM-based applications for enterprise search, document summarization, and conversational AI. Drive innovation through retrieval-augmented generation (RAG) architectures and mentor engineering teams in transformer models and prompt engineering. Collaborate across data, ML, and business teams to deliver measurable impact using cloud AI platforms and MLOps practices.
This role involves developing an uncertainty-aware hybrid digital twin and AI control architecture for creating advanced materials and battery technologies. The appointee will collaborate with researchers across multiple disciplines, integrate multimodal in-line metrology, and contribute to project reports and publications.
The role involves advancing mathematical modelling, simulation, and AI to solve complex transport challenges. Responsibilities include developing novel computational and analytical approaches with real-world applications, working in a multidisciplinary team focused on intelligent and sustainable mobility.
The role involves leading translational research to improve genomic diagnostics for autoimmune diseases by integrating clinical and genomic data. Responsibilities include developing LLM-based pipelines, managing early career researchers, and collaborating with multidisciplinary teams.
This role involves engaging with technical founders, CTOs, and VPs at high-growth UK startups to position Databricks as a strategic data and AI platform. The Lead Solutions Architect will lead technical discovery, drive ecosystem relationships with VCs and accelerators, and act as a thought leader in Generative AI and modern data architecture. They will also mentor other SAs and represent Databricks at technical events and meetups.
Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.
This role involves defining and executing the AI platform strategy, leading the delivery of complex AI programmes, and ensuring scalable, cutting-edge AI solutions. You will work with a multidisciplinary team to drive innovation and maintain governance standards.
This role involves leading the development and delivery of advanced AI products and platforms, driving technical strategy and execution. The Head of AI Engineering & Delivery will lead high-performing engineering teams, deliver innovative AI solutions, and establish engineering standards and best practices.
This role involves processing and analyzing large-scale cardiac imaging data, integrating it with genetic and clinical data, and developing machine-learning models to predict patient risk in hypertrophic cardiomyopathy. You will work in a multidisciplinary team at Imperial College London, contributing to a British Heart Foundation-funded project.
This role involves developing and evaluating AI safety mechanisms for a generative AI system that conducts clinical interviews to assess the risk of psychosis. The researcher will work with a multidisciplinary team to address safety risks, develop LLM supervisor modules, and conduct empirical evaluations using simulation and human ratings.
The role involves conducting high-quality research in AI and multi-omics data analysis for precision medicine. Responsibilities include developing innovative AI algorithms, collaborating with interdisciplinary teams, and contributing to research projects, publications, and presentations.
