Future Tech Jobs
Future Tech Jobs
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the...
As a Solution Architect in NVIDIA's Public Sector team, you will work closely with government clients to implement AI solutions that enhance public services. Your role involves mentoring partners, shaping strategic plans, creating engaging resources, and collaborating with technical teams to deploy AI-driven solutions. You will also advocate for customer needs and develop demonstrations using NVIDIA's AI technologies.
JOB ID:FEQ227R179Location:London, UKAt Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone....
This role involves working closely with sales teams to demonstrate Databricks' Data Intelligence Platform to enterprise clients, focusing on data and AI solutions. You'll design technical proofs-of-concept, deliver custom demonstrations, and act as a trusted advisor on data architecture and AI use cases. The position requires deep technical expertise in big data, cloud ecosystems, and customer-facing pre-sales engineering, with regular engagement in client workshops and solution design.
This role involves building production-grade AI solutions and intelligent workflows for financial services, working with LLMs, RAG pipelines, and scalable backend services. You will collaborate with engineering, architecture, and business teams to deploy and govern AI systems in a regulated environment.
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 deploying AI-powered applications using Large Language Models and Generative AI technologies within a modern financial services environment. You'll build prompt engineering frameworks, retrieval-based systems, and scalable AI workflows while collaborating with engineering and product teams. The position emphasizes responsible AI practices, innovation in cloud-native environments, and shaping the organization's AI strategy.
Lead the delivery of AI solutions for enterprise clients, developing market-leading propositions and managing cross-functional teams to implement secure, scalable AI systems. Bridge technical and executive stakeholders to drive innovation and business growth through Generative AI, LLMs, RAG, and vector search technologies. Work across telecoms, media, and technology sectors within a global consultancy environment.
This role involves leading the strategic development and delivery of AI transformation programmes for enterprise clients in regulated sectors. The AI Practice Lead will define technical and business strategies, drive innovation in Generative AI and data platforms, and mentor cross-functional teams. Key responsibilities include shaping AI roadmaps, leading high-impact client engagements, and building scalable, industry-specific solutions.
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. The AI Applications Ops Lead will also manage global compliance, lead incident response, and translate technical metrics into insights for senior officials.
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 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.
This role involves designing and prototyping AI and LLM-based applications to enhance financial research workflows. You will work closely with business users to identify opportunities, build proof-of-concepts, and integrate AI solutions into enterprise platforms, while collaborating with cross-functional teams to scale successful prototypes.
Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This...
The Applied AI Engineer will design and maintain data pipelines, warehouses, and lakes while developing scalable AI and machine learning solutions across Barclays. This role involves close collaboration with data scientists, implementing MLOps/LLMOps practices, and ensuring solutions are secure, reliable, and aligned with enterprise governance. The engineer will work on cutting-edge applications including GenAI and LLMs, supporting responsible AI adoption in a fintech environment.
