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This working student role involves designing agentic physical AI systems, training and deploying deep learning models, and experimenting with multisensor datasets.
Oversee complex defence AI projects, coordinating technical and commercial delivery for a prestigious land-domain team while managing stakeholder communications and project KPIs.
Design and verify timing for Google’s TPU chips, ensuring high-performance AI hardware meets sign-off requirements and architectural goals.
Senior QA engineer ensures quality of enterprise Appian applications via manual and automated testing, collaborating with cross-functional teams to design test strategies, build frameworks, and validate software across environments. Focuses on functional, integration, API, and CI/CD testing for a UK financial services client.
Isarsoft is seeking a working student to support customer success and bridge technical requirements between clients and the engineering team. The role involves assisting with product demos, onboarding, and feature development for their video analytics software.
Builds HyperStack’s first product design function, designing core journeys (onboarding, GPU selection, Kubernetes workflows) from technical requirements and user research to improve a GPU cloud/AI infrastructure platform.
The Senior AI Engineer will experiment with new model architectures, integrate LLMs into software products, and optimize model performance and latency. The role involves deploying, versioning, and serving machine learning models within an agile team environment.
The Senior Technical Writer will own end-to-end documentation for an industrial edge platform, utilizing AI-first workflows to create written and video content. The role requires close collaboration with engineering and product teams to translate complex industrial concepts into accessible documentation for various technical audiences.
Designs and governs an enterprise AI platform built on Google Gemini Enterprise and Agent Platform, setting standards for agent architecture and adoption.
The Machine Learning Engineer will design, build, and maintain production-grade LLM agents and machine learning systems to transform unstructured enterprise content into structured metadata. The role involves developing data pipelines, agentic workflows, and monitoring model performance within an AI-first content management platform.
The DevOps Intern will assist in managing cloud-native infrastructure, including Kubernetes clusters, CI/CD pipelines, and observability stacks. The role focuses on automating operational tasks and ensuring the reliability of production systems using tools like Kubernetes, GitOps, and various cloud services.
Designs and optimizes power-efficient silicon architectures for Google’s Pixel AR/VR hardware, analyzing workloads like spatial mapping and hand tracking to reduce latency and thermal constraints while ensuring top-tier performance.
Builds AI products from scratch while embedded with clients, identifying workflow friction and improving efficiency using frontier AI technologies.
The GTM Systems Administrator will manage and scale go-to-market systems, including Salesforce and Zendesk, using an AI-first approach to automate lead routing, customer support, and data workflows. This role involves partnering with cross-functional teams to build scalable infrastructure that supports revenue and retention.
The Brand Designer will own the visual direction and craft of Lovable's website, collaborating with marketing and design engineering to create high-impact web experiences. The role focuses on building scalable visual systems and ensuring a consistent, world-class brand presence across all digital touchpoints.
Wavestone is seeking a Data Platform Engineer consultant to design and deploy scalable Data and AI platforms for large organizations. The role involves managing data architecture projects, integrating modern cloud tools, and providing technical expertise to support business transformation.
The AI Engineer will develop and optimize mature, production-grade AI-powered tools and services using Python and generative AI technologies. The role involves the full lifecycle management of AI solutions, including research, evaluation, and scaling of existing business process tools.
Design AI-powered proposal-writing tools for enterprise clients, shaping UX/UI for complex workflows where users collaborate with generative AI in B2B SaaS.
The Data Scientist will build and maintain training pipelines, develop departure delay prediction models using flight and weather data, and collaborate with backend teams to integrate and monitor models in production.
This postdoctoral position involves conducting health data science research, specifically applying network medicine methods and integrating omics and physiological data to develop precision medicine approaches.
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