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The Senior AI Engineer will design, develop, and deploy production-grade Generative AI and agentic workflows using the Azure AI ecosystem. The role involves building RAG pipelines, implementing graph analytics, and managing the full AI/ML lifecycle for scalable solutions.
We're building Sophie, a multi-agent AI orchestrator that helps wealth management advisors deliver more personalized, effective service to their clients. Our platform analyzes behavioral patterns, communication…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Data Scientist ? Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge…
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You solve the technical issues to show how our products can make businesses…
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Position Title: Manager Engineering Roles & responsibilities: Lead and grow high-performing engineering teams focused on search relevance, catalog management, and product discovery. Define and execute the technical…
Senior engineer builds and optimizes GPU clusters, InfiniBand networks, and KVM/QEMU virtualization for a cloud platform powering AI workloads.
Designs and creates technical tutorials, sample code, and reference architectures to teach developers how to use Nebius' AI cloud infrastructure, including VMs, GPU clusters, and Kubernetes.
Creates tutorials, sample code, and video demos to teach developers how to use Nebius’ AI cloud platform (VMs, GPU clusters, Kubernetes, SLURM) and explains best practices for ML infrastructure.
Senior Platform Engineer at MongoDB builds and maintains a self-service internal development platform using Go, AWS, Kubernetes, and observability tools to enable reliable deployments and operations for engineering teams.
Lead a team of platform engineers to build and maintain MongoDB's internal development platform using Go, AWS, Kubernetes, and observability tools, enabling reliable service deployment and operation.
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