This role involves designing, building, and maintaining scalable data processing systems for CrowdStrike's Intelligence team. You will work on large-scale distributed systems, interact with analysts, and ensure smooth operations of the systems you develop.
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 leading backend and edge/IoT engineering efforts to build production-grade AI systems for high-stakes defence applications. The engineer will bridge machine learning research with robust software delivery, using Python and compiled languages like Rust or C++, while implementing scalable CI/CD, containerisation, and Kubernetes deployments. Collaboration with data scientists and mentoring of engineering peers are key aspects of the position.
This role involves leading the delivery of AI-powered agents for critical processes in life sciences and healthcare, acting as a bridge between technical teams and enterprise clients. The Senior Manager will scope high-value solutions, manage complex implementations, and influence product development through direct customer insights. It's an entrepreneurial position requiring strategic thinking, cross-functional collaboration, and deep stakeholder engagement in high-stakes environments.
This role involves leading bioanalytical strategy for a diverse portfolio of AI-designed therapeutics, including small molecules, biologics, and Antibody-Drug Conjugates. The candidate will design and validate PK, PD, and immunogenicity assays, manage global CROs, and integrate wet-lab data back into AI models to improve predictive accuracy. They will also author regulatory submissions and ensure robust cross-functional collaboration across drug discovery, translational medicine, and computational biology teams.
This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.
As a Software Engineer in the National Security and AI Safety team, you will build and deploy production-grade machine learning systems, collaborate with cross-functional teams, and ensure the technical feasibility and impact of AI solutions. You will work on high-stakes, high-impact projects, leading technical scoping and architectural decisions, and act as a technical advisor to clients and partners.
As a Senior Software Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions. You will design and build scalable, production-grade ML software and infrastructure, collaborate with cross-functional teams, and mentor junior engineers.
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.
The Solutions Engineer role involves working closely with clients, sales, product, and engineering teams to design and deliver technical solutions for AI integrations in financial services. Responsibilities include technical qualification, requirements gathering, integration planning, and supporting go-live processes.
This role involves building and scaling the voice systems at the core of ElevenLabs, focusing on backend architecture, data models, and production systems. Responsibilities include modernising voice architecture, ensuring reliability of voice cloning pipelines, and developing voice creation and verification capabilities.
This role involves leading software development projects, participating in multidisciplinary teams, and providing subject matter expertise in AI and computer vision. Responsibilities include project planning, software design, development, testing, and deployment, as well as contributing to continuous improvement and technical documentation.
The role involves conducting cutting-edge research in Artificial Intelligence, particularly in perception and action, and teaching undergraduate and master's level courses. The successful candidate will join a top-ranked institution with strong support for research and collaboration.
Lead strategic SOC modernization and XSIAM deployment initiatives for enterprise customers, transforming fragmented security operations into unified, AI-driven platforms. Architect detection strategies, optimize log ingestion, and guide large-scale transformations from strategy to execution. Mentor cross-functional teams and bridge field insights with product development to enhance platform capabilities.
The role involves driving revenue expansion within Palo Alto Networks' largest enterprise clients in the energy sector by leading complex, consultative sales cycles. You will collaborate with internal teams to deliver tailored cybersecurity solutions, focusing on zero-trust architecture and platformization. The position requires deep understanding of SaaS, networking, and security technologies, with an emphasis on strategic account planning, forecasting, and value-based selling.
