This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems, as well as interacting with internal customers to gather requirements and provide training.
This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems that support intelligence analysts and researchers. The role requires deep expertise in scalable, distributed architectures and the ability to work independently in a remote, geographically distributed team.
This role involves working closely with leading AI research institutions and model builders across EMEA to solve complex challenges in large-scale distributed training and alignment of neural networks. The Senior Solutions Architect will guide customers on optimizing training workflows, infrastructure, and software stacks using NVIDIA's full AI training platform, including frameworks like Megatron-LM and NeMo. The position bridges customer needs with internal product and research teams, influencing NVIDIA's roadmap while fostering technical engagement through demos, hackathons, and conferences.
This role involves working closely with leading AI organizations across EMEA to solve complex challenges in large-scale AI model training and alignment. You'll act as a technical advisor, guiding customers on infrastructure, distributed training strategies, and post-training workflows using NVIDIA's full stack—including Megatron-LM, NeMo, and Nemotron. The position bridges customer needs with product development, influencing NVIDIA’s roadmap while supporting innovation in areas like MoE models and reinforcement learning.
Lead toxicology strategy for drug discovery projects using an AI-first approach, guiding safety assessment from early discovery to regulatory submission. Develop predictive toxicology models in collaboration with machine learning teams and external CROs. Mentor team members and contribute to reducing animal testing through innovative, data-driven methodologies.
You will work on optimizing large language models for performance and scalability within a cutting-edge AI-driven drug discovery environment. The role involves implementing post-training methods, diagnosing bottlenecks in distributed systems, and deploying low-precision techniques to support real-world drug design applications. Collaboration with interdisciplinary research teams is central to translating novel AI methods into production-ready systems.
This role involves leading the design and implementation of production-grade data and AI systems for strategic customers using the Databricks platform. The Senior Architect will work hands-on to build end-to-end solutions, integrating data engineering, machine learning, and application development while guiding customers on architecture and best practices. The position emphasizes customer immersion, reusable asset creation, and cross-functional collaboration to drive transformational impact.
This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on GenAI, MLOps, and LLMOps. The individual will guide enterprise customers through technical challenges, build MVPs, and lead deep-dive sessions during sales cycles. They will also contribute to product roadmaps, create technical content, and drive AI thought leadership through conferences and hackathons.
Develop and refine vehicle trajectory and motion controllers that translate AI-driven decisions into safe, smooth vehicle movement across diverse platforms. Work on real-time control systems using C++, integrating with AI components and validating performance through simulation and on-road testing. Collaborate across teams to support new vehicle platforms and autonomous driving features.
As a Senior Machine Learning Engineer, you will lead large-scale data curation and mining efforts, focusing on rare events and model introspection to enhance the robustness of driverless operations. You will collaborate with research, simulation, and engineering teams to build and improve foundational capabilities for automated driving systems.
Design and build scalable backend systems for detecting and preventing abuse of free-tier services, focusing on AI-driven moderation and guardrails. Develop production-grade APIs, data pipelines, and observability frameworks while collaborating with ML engineers to deploy models at scale. Own end-to-end technical execution of safety infrastructure across a multimodal AI platform.
This role involves building and owning end-to-end machine learning components within a generative AI platform, with a focus on retrieval systems, knowledge representation, and RAG pipelines. The engineer will design and implement systems for knowledge retrieval, vector indexing, and context engines that power enterprise AI agents. Work includes developing evaluation frameworks, integrating with enterprise data sources, and collaborating across ML, product, and infrastructure teams to deliver high-impact AI solutions.
This role involves designing and building a production-grade internal agentic operating system to transform how Multiverse functions as an AI-first organisation. You'll architect multi-agent coordination, evaluation frameworks, cost-efficient systems, and integrations across existing platforms, while setting technical standards and mentoring engineers. The work directly shapes both internal transformation and the broader blueprint for AI adoption in workforce development.
This role involves contributing to the design and development of technology solutions within Barclays' digital infrastructure, with a focus on innovation and collaboration across teams. The apprentice will work on real-world projects in AI and data science, applying theoretical learning to practical banking challenges. Emphasis is placed on operational excellence, risk management, and delivering customer value through technology-driven solutions.
This role involves collaborating on high-impact machine learning projects, evaluating and optimizing PyTorch models, and contributing to AI research publications. Fellows work remotely on flexible schedules, engaging with cutting-edge generative AI systems and interdisciplinary experts. The position emphasizes research, model interpretation, and advancing responsible, human-centered AI through technical evaluation and publication.
