Lead the development of next-generation AI systems for cybersecurity, focusing on large language models and deep learning at scale. Design and implement production-ready AI solutions that process trillions of events daily. Provide technical leadership, mentor research teams, and shape AI strategy while driving innovation in reasoning, summarisation, and interactive systems.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
This role involves working as a technical expert to support EMEA AI-native companies in building and optimizing multimodal AI applications for document intelligence, content analysis, and recommendations. The Senior Solutions Architect will guide customers through architectural planning, model training, and deployment using NVIDIA's full software and hardware stack, while also influencing product roadmaps based on field insights. Key responsibilities include solving complex vision and multimodal challenges, engaging with developer communities, and translating research into production-ready solutions.
This role involves working as a technical expert to help EMEA-based AI-native companies build and optimize multimodal AI applications for document intelligence, content analysis, and recommendations. You'll guide customers through architectural design, model training across text, image, and video modalities, and production deployment using NVIDIA's full software and hardware stack. The position requires deep technical engagement, translating customer challenges into product improvements and contributing to the broader developer community through technical outreach.
Develop next-generation generative world models for autonomous driving, focusing on real-time simulation, closed-loop training, and scalable deployment. Work on high-performance diffusion and transformer-based models to enable efficient, interactive, and physically faithful driving simulations. Integrate models into production systems and mentor research teams in a fast-paced AI environment.
Develop and scale generative and predictive machine learning models for cellular behaviour using multi-omic biological data. Build robust distributed training and inference systems, bridging ML research and production deployment in close collaboration with scientists. Optimize performance across compute, memory, and I/O while advancing core ML infrastructure in a highly interdisciplinary environment.
This role involves leading and scaling a team of AI/ML professionals, developing executive relationships with EMEA customers, and driving strategic initiatives. The role requires deep technical expertise in ML, GenAI, and data science, as well as experience in managing and growing high-performing teams.
Leads and scales the EMEA AI Forward Deployed Engineering team, delivering professional services to help customers build and productionize GenAI applications on the Databricks platform. Acts as a trusted advisor to senior stakeholders, shapes product strategy through customer insights, and drives technical engagements across enterprise clients. Focuses on team development, strategic account management, and cross-functional collaboration with Product, Sales, and Research teams.
Lead a team of data scientists focused on advancing threat detection and agentic AI systems using CrowdStrike’s massive-scale cybersecurity data. Drive machine learning initiatives from research to production, collaborating with security experts and engineering teams to develop innovative AI-driven security solutions. Mentor team members and contribute to cutting-edge research with real-world impact.
Build and scale next-generation world model architectures to generate high-fidelity synthetic data for autonomous driving systems. Bridge ML research and engineering by optimizing generative models, ensuring training-grade video output, and integrating synthetic data into real-world training pipelines. Work across GPU-scale infrastructure, 3D geometry, and multi-sensor simulation to accelerate development across new vehicle platforms and safety-critical scenarios.
This role involves advancing autonomous AI agent systems with a focus on long-term reasoning, memory, self-improvement, and reinforcement learning. The researcher will design scalable memory architectures, develop self-evolving agent capabilities, and contribute to novel research in agentic RL and LLM-based reasoning. Work is conducted in a high-impact research environment with publication and innovation as core goals.
Develop novel generative AI and closed-loop discovery methods for biological design within a well-funded research group. Focus on advancing AI methodology—such as generative modelling, reinforcement learning, or Bayesian optimisation—with integration into experimental feedback loops. Collaborate across AI and biosciences in a high-performance computing environment with access to automation and national-scale infrastructure.
The role involves leading projects to develop and benchmark AI models for predicting biological processes using genomic, multi-omic, and phenotypic data. The researcher will work on large-scale datasets, develop statistical methods, and contribute to high-impact publications.
This role involves developing novel computational methods and machine learning algorithms to transform complex sequencing data into actionable biological insights. You will work closely with bioinformaticians and software engineers to deploy methods in scalable workflows, and have the potential to take on people leadership responsibilities.
This role involves developing novel computational methods and machine learning algorithms to transform complex sequencing data into actionable biological insights. You will work closely with bioinformaticians and software engineers to deploy methods in scalable workflows and collaborate across multidisciplinary teams to translate research into practical applications.
