This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work with the latest GPU and deep learning technologies, collaborate with HPC and systems specialists, and support R&D activities.
Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate with researchers to integrate NVIDIA frameworks into large-scale projects, deliver training and workshops, and translate research needs into prototypical solutions. Focus on multimodal and physical AI, with deep engagement in GPU-accelerated computing and joint research initiatives.
This senior researcher role focuses on advancing AI safety through cutting-edge research and implementation. You will set research directions, collaborate with cross-functional teams, and ensure OpenAI's models are robust, safe, and aligned with ethical standards.
This role involves designing and building the infrastructure that powers Codex agents, focusing on sandboxed execution, orchestration, stateful workflows, and model rollouts. You will work on distributed systems, developer tooling, and AI to ensure Codex is fast, reliable, and secure.
Lead the go-to-market strategy and operations for Anthropic's international partnerships, spanning UKI, EMEA, India, Japan, and APAC. Define regional targets, forecast accuracy, and operating rhythms while driving cross-regional initiatives to shape global partnerships architecture. Build scalable systems that align with local market realities and support enterprise AI adoption through indirect revenue models.
This role involves embedding with strategic enterprise customers to build and deploy production AI applications using Anthropic's Claude models. The engineer will develop custom solutions like agent skills and MCP servers, provide on-site deployment support, and translate customer needs into technical implementations while maintaining safety and reliability standards. As a founding member of the Forward Deployed Engineering team, the role also shapes Anthropic’s customer deployment strategy and contributes insights back to product and engineering teams.
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.
Lead and grow a product design team focused on enterprise AI applications, shaping human-AI interaction patterns for high-stakes decision-making environments. Drive design strategy from problem scoping to delivery, ensuring intuitive, research-backed experiences for expert users. Contribute to a shared design system while raising the craft standard across a distributed team.
You will work on building and maintaining production-quality software, focusing on applied AI and agentic systems. The role involves defining new ways of producing software and owning systems from proposal to operation, with a strong emphasis on practical experience with AI agents and LLMs.
Lead and scale a presales engineering team in London, shaping the technical sales approach for a leading AI video platform. You'll hire and mentor Solutions Engineers, refine demo methodologies across Studio, Roleplay, and Interactive Avatars, and directly influence high-impact deals through discovery, PoCs, and executive storytelling. The role involves close collaboration with Sales, Product, and Customer Success to drive revenue and product feedback, while establishing scalable processes in a high-growth AI company.
Lead the development of a real-time Interactive Avatar API, transforming static avatars into dynamic, responsive agents for use in products, websites, and internal tools. Define the developer experience, integration patterns, and production readiness while balancing quality, latency, and commercial viability. Collaborate closely with engineering, research, and go-to-market teams to evolve the platform from closed beta to broad adoption.
Develop and deploy advanced machine learning and AI solutions for national security challenges in collaboration with cross-disciplinary teams. Lead technical projects, build scalable data systems and microservices, and provide technical leadership while working at the intersection of research and real-world impact. Mentor team members and contribute to research proposals and capability development.
Conducts machine learning research to advance Darktrace's AI-driven cybersecurity platform, prototyping new models and integrating them into production systems. Works across research, engineering, and security teams to solve novel problems using language models, neural networks, and statistical methods. Focuses on developing optimised, deployable ML solutions for diverse environments including edge devices.
Develop an intelligent 3D visualisation platform for rail stations using spatial computing and AI, creating accessibility-aware immersive walkthroughs. Work with 3D Gaussian Splat models, LiDAR, and sensor data fusion, integrating conversational AI to deliver personalised, interactive experiences. Collaborate with industry and academic partners to deploy and disseminate innovative solutions.
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.
