Future Tech Jobs
Future Tech Jobs
This role involves building and scaling NVIDIA’s developer ecosystem for healthcare life science startups in the UK, France, and Nordics. You will engage the AI startup community, connect them with NVIDIA technologies, and develop regional strategies to accelerate adoption and growth.
This role involves partnering with public sector clients to understand their challenges and define AI-driven solutions. You will build and deploy end-to-end AI applications, create high-quality training datasets, and design evaluation frameworks to ensure the reliability and effectiveness of AI models. The position also includes occasional travel and contributing to the scaling of AI capabilities in the public sector.
This role involves designing and developing the production lifecycle of full-stack AI applications for international government partners, ensuring system reliability, real-time inference observability, and high-security software integration. You will lead incident response, manage global compliance, and translate technical metrics into insights for senior officials.
As a Senior AI Engineer, you will design, build, and deploy production-grade generative AI systems, focusing on RAG pipelines, agentic workflows, and rigorous evaluation frameworks. You will provide technical leadership, mentor engineers, and collaborate closely with platform, product, and delivery teams to ensure AI systems are accurate, reliable, and grounded in business value.
This role involves designing, developing, and implementing AI-powered applications to modernize financial operations and improve customer experiences. You will work across the full software development lifecycle, integrating AI models, and collaborating with product, engineering, and business teams to deliver scalable solutions.
This role involves working as a full-stack AI Engineer, owning the entire lifecycle of AI projects from architecture to product delivery. You will identify new opportunities, scope AI builds, and ship production AI systems, while providing technical leadership and collaborating closely with C-level executives.
This role involves leading the design, development, and deployment of advanced AI solutions in financial services and capital markets. Responsibilities include building AI prototypes, integrating with enterprise systems, working with LLMs, and supporting MLOps practices. The role requires strong Python and SQL skills, experience with LLMs, vector databases, and cloud platforms, and the ability to collaborate with multidisciplinary teams.
This role involves designing and building scalable AI solutions using Generative AI, Agentic AI, and modern cloud platforms. You will lead technical delivery, mentor junior engineers, and contribute to engineering standards and best practices within a fast-paced, collaborative team environment.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of...
As a Gen AI Python Software Engineer at Citi, you will work on greenfield projects to build and deploy production-grade Generative AI solutions for financial markets. You will collaborate with a small, high-impact team to design and develop scalable, maintainable applications using Python and modern AI patterns, influencing the future of AI in finance.
This role focuses on leading the onboarding and configuration of applications onto Citi's new Intelligent Document Processing platform powered by Generative AI. The lead will optimize LLM performance, ensure accuracy across workflows, and collaborate with internal and external stakeholders to deliver strategic initiatives. Expertise in RAG, prompt engineering, and GenAI frameworks is essential for driving platform adoption and technical success.
This role involves designing and deploying custom AI agent solutions on the Moveworks ServiceNow platform for enterprise customers, from initial vision through implementation and optimization. The engineer acts as a technical advisor, integrating AI workflows into customer systems while translating real-world feedback into product improvements. It combines hands-on development with strategic consultation to drive adoption of agentic AI in complex business environments.
This role involves leading the design, build, and delivery of advanced AI solutions in financial services and capital markets. Responsibilities include building AI prototypes, working with LLMs, RAG patterns, and modern data platforms, and collaborating with multidisciplinary teams to solve complex challenges.
Multiverse is the upskilling platform for AI and Tech adoption.We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.Our upskilling apprenticeships are designed for people of any age and career stage to build...
This role involves designing and delivering secure, compliant AI governance solutions for enterprise customers using NVIDIA's platform technologies. You will lead technical engagements, develop reference architectures, and ensure alignment with regulations like the EU AI Act. The position emphasizes collaboration with security, compliance, and engineering teams to deploy AI systems in regulated environments.
