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.
As a Solutions Architect, you will lead technical discovery and build reference architectures for AI application wrappers, orchestrating agents, and specialized workflows using NVIDIA's stack. You will work closely with partners to develop enterprise-ready agentic AI products, optimize workloads, and create reusable enablement assets.
As a Solutions Architect, you will lead technical discovery with AI application wrapper partners, build reference architectures, and create proofs of concept using NVIDIA's stack. You will optimize agentic workloads, support multi-stage deployment paths, and develop reusable enablement assets.
Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.
Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate with data scientists and customers to develop, prototype, and deploy production-grade tools using Python, FastAPI, and cloud infrastructure. Work across industries such as aerospace, energy, and semiconductors, with opportunities for international travel to support on-site customer deployments and iterate on solutions based on direct user feedback.
This role involves building and maintaining the core infrastructure and professional tools for ElevenLabs' managed services wing, focusing on AI audio tools and human expertise. You'll work on backend systems, data pipelines, and UI-heavy professional tools, with a strong emphasis on reliability and scalability.
This role involves owning the development of the ElevenMusic mobile app across iOS and Android, working with high autonomy and a focus on delivering a high-quality user experience. The team is small and fast-moving, allowing for rapid iteration and deployment of new features.
As an Applied AI Engineer at Anthropic, you will serve as a technical advisor to tech-forward companies, helping them build on the Claude Developer Platform. You'll work hands-on with customer engineering teams, develop custom evaluation frameworks, and create technical resources to enable their success with Claude. You'll also contribute to the community through hackathons and webinars.
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 researching and prototyping agentic AI workflows within cybersecurity, exploring how autonomous systems can enhance threat detection and response across Darktrace’s platform. You'll collaborate with product, engineering, and ML teams to translate novel AI concepts into functional prototypes, while maintaining deep expertise in both AI advancements and security applications. The position emphasizes innovation, cross-functional coordination, and applied research in a real-world cyber defense context.
Develop and maintain dynamic, accessible user interfaces for a cutting-edge cybersecurity platform using React, TypeScript, and modern frontend practices. Collaborate with UX designers, backend engineers, and product teams to deliver scalable, high-performance UI components across network, cloud, and email security products. Focus on responsiveness, accessibility (WCAG), and integration with backend systems via APIs.
Develop and apply advanced machine learning models to DNA and genetic data to uncover associations between genetic variants and diseases. Collaborate with computational and experimental scientists to validate hypotheses and integrate ML into target discovery pipelines. Work on sequence modelling tasks such as variant interpretation, gene discovery, and regulatory mechanism analysis using large-scale genomic datasets.
This PhD studentship focuses on developing hybrid fault diagnosis methods for wind turbine generators by combining physical drivetrain models with AI-driven data analysis. The research aims to improve early detection of mechanical and electrical faults in offshore wind turbines using advanced condition monitoring systems, with work involving analytical modelling, simulations, finite element analysis, and experimental validation. The project addresses a critical gap in current monitoring systems, which struggle with false alarms and poor detection of electrical faults.
Data Engineer - Snowflake - London - £60kCurrently recruiting for an Enterprise client in the consulting space who are expanding their Transformation Practice focusing on Snowflake projects and customers.They are heavily investing in this space which includes in their consultants...
