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 deploying AI to automate scientific experiments in labs, working closely with researchers to integrate Claude into their workflows. Responsibilities include prototyping, writing production code, and driving product and research direction based on field experience.
Lead the design and deployment of scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Collaborate across engineering, data science, and commercial teams to operationalise AI solutions, while mentoring junior engineers and shaping technical standards. Work on-site with government clients and contribute to ethical, secure AI practices in a cross-functional, client-facing role.
This role involves scoping, building, and delivering custom AI solutions for national security clients. The Associate will work closely with stakeholders to translate complex operational needs into technical requirements, conduct open-source analysis, and support the development of secure, high-impact AI tools. The position requires collaboration with technical teams and contributes to strategic capability development within a high-stakes, mission-driven environment.
Leads technical strategy and R&D in AI safety, building and mentoring a high-performing team to develop cutting-edge evaluations and mitigation techniques for frontier AI models. Shapes global AI safety discourse through thought leadership, publications, and collaboration with leading labs and governments. Translates advanced research into practical safety solutions while representing the organisation at the highest technical and policy levels.
This role involves scoping, building, and delivering custom AI solutions for major financial institutions, translating complex operational needs into actionable technical requirements. You'll work closely with both clients and engineering teams to ensure AI tools are effectively designed, tested, and deployed in regulated environments. The position emphasizes client engagement, workflow design, and contributing to strategic capability development within a high-impact AI consultancy.
This role involves owning the architecture and technical roadmap for Remote Assistance in Wayve's Robotaxi team. Responsibilities include designing and implementing the end-to-end system for low-latency telemetry and video streaming, fallback and minimal risk manoeuvre (MRM) design, and contributing to the L4 safety case. The role requires strong hands-on expertise in real-time, safety-critical systems and a deep understanding of teleoperation and human-in-the-loop system design.
This role involves leading the development and improvement of performance metrics and systems for Wayve's Robotaxi AI Driver. You will build and maintain the performance measurement framework, drive cross-functional execution, and ensure the system is reliable and trusted for public deployment.
Design and develop advanced RF and high-speed electronics for innovative client projects across diverse industries including defence, healthcare, and telecommunications. Lead electronics aspects of novel systems, from concept to testing, using specialized tools and in-house lab facilities. Solve complex challenges involving low-noise circuits, power design, and RF subsystems in a multidisciplinary engineering environment.
As a Design Assurance Engineer, you will contribute to the development of groundbreaking medical devices and systems, applying your expertise in standards and regulations to ensure compliance and quality. You will work on complex projects, lead risk management activities, and collaborate with multidisciplinary teams to deliver innovative solutions.
This role involves developing high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, integrating them with AI-driven simulation tools. The engineer will work directly with customers on-site, validate models against real-world data, and collaborate with data science and ML teams to deliver actionable engineering solutions. The position emphasizes technical ownership, cross-functional collaboration, and global travel to support customer implementations.
This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, enabling solutions using NVIDIA's stack, and translating field feedback into product insights. Emphasis is placed on technical engagement, ecosystem growth, and cross-functional collaboration to accelerate AI-driven innovation in targeted verticals.
This role involves serving as the senior technical advisor for education-sector clients, guiding them from AI exploration to production adoption. The Applied AI Architect designs secure, scalable solutions using OpenAI’s models, aligns technical strategies with institutional goals, and leads cross-functional teams to deliver measurable impact in teaching, research, and operations. The role requires deep technical expertise, stakeholder engagement across academic and administrative domains, and a strong commitment to responsible AI deployment.
Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and GCP technologies for generative AI and machine learning workloads. Collaborate with developers, data scientists, and technical leaders to optimize training and inference pipelines on hyperscaler infrastructure. Act as a technical bridge between NVIDIA, Google Cloud, and enterprise customers to drive adoption of accelerated computing in AI.
This role involves establishing and owning the product analytics and evaluation framework for AI products across multiple professional domains. The analyst will measure performance using metrics like retrieval quality and user engagement, build dashboards, curate golden datasets with subject-matter experts, and deliver insights to guide investment decisions. The position works closely with engineering and product teams to shape development through data, with a focus on real-world impact and model correctness.
