Future Tech Jobs
Future Tech Jobs
NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. With this release, NVIDIA has set the standard for fidelity, real-time inference performance in world models. And, we've put our work in the open with...
This internship involves researching and developing GPU acceleration techniques for AI workloads, collaborating with technical experts to optimize complex algorithms, and contributing to the design of next-generation hardware and software. You will also publish optimization techniques and engage with the developer community.
The role involves building and maintaining critical systems for serving Claude, a large language model, to millions of users. Responsibilities include optimizing compute efficiency, enabling breakthrough research, and tackling complex distributed systems challenges across multiple cloud platforms and AI accelerators.
This role involves owning the technical strategy and roadmap for node lifecycle management, including ingestion, bring-up, health checking, and automated repair of compute resources. You will drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerators, ensuring high reliability and efficiency in Anthropic’s AI research infrastructure.
Design and deploy enterprise-scale AI and machine learning solutions using Python, TensorFlow, and PyTorch across cloud platforms including Azure, AWS, and GCP. Develop end-to-end ML pipelines, integrate with structured and unstructured data, and collaborate with cross-functional teams to solve business challenges using cutting-edge technologies including generative AI and MLOps practices.
Leads the enterprise-wide data, AI, and analytics strategy, building scalable data platforms and driving AI adoption across the organisation. Focuses on digital transformation, data governance, and high-performing team development. Works closely with senior stakeholders to enable data-driven decision-making and deliver business value through advanced analytics and automation.
This role involves leading the end-to-end data, analytics, and AI strategy within a global, regulated organisation. You will oversee multidisciplinary teams, drive data governance and modern data platforms, and embed data-driven decision-making across senior leadership and business functions. The position offers strategic influence in shaping how data and AI enable digital transformation and commercial outcomes in a complex international environment.
Data & AI Engineer - London (Hybrid) - Up to £50,000We are supporting a leading organisation within the Technology and Data space that deliver technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and...
This role involves leading the strategic design and enterprise-wide adoption of AI, ML, and intelligent automation. Responsibilities include defining the AI vision, building high-performing teams, and delivering transformative solutions that drive business value. The Director will work closely with C-suite stakeholders and global teams to embed AI-first thinking and shape the future of intelligent enterprise systems.
This role involves designing and prototyping AI-driven solutions for investment research workflows, leveraging machine learning, large language models, and multi-agent systems. The engineer will collaborate with research analysts and technical teams to translate business needs into scalable AI applications, develop proof-of-concepts, and support enterprise integration of AI in content discovery, generation, and distribution. The position operates at the intersection of advanced AI, cloud engineering, and financial research, with a focus on delivering measurable business impact.
This role involves designing and implementing large-scale cloud solutions on AWS, with a strong focus on AI/ML workloads and enterprise-ready architectures. The architect will collaborate with engineering and DevOps teams to automate deployments, ensure compliance with best practices, and support the migration of applications to the cloud. Emphasis is placed on thought leadership, technical mentoring, and delivering secure, cost-optimised solutions for high-profile clients.
This role involves designing and delivering end-to-end AI solutions for clients and internal projects, focusing on Generative AI, Machine Learning, and Intelligent Automation. The architect will lead technical design, advise on AI strategy, and ensure responsible AI practices including governance, explainability, and compliance with regulations like the EU AI Act. Collaboration with data scientists, engineers, and stakeholders is key to translating business challenges into scalable, production-ready systems.
Director of Data, Analytics & Insight - ManchesterForward Role are excited to be partnering exclusively with a data-driven technology business in Manchester. Due to continued growth, an incredibly exciting opportunity has arisen for a passionate Director or Data, Analytics and...
As a Systems Engineer, you will design and develop complex, safety-critical systems for autonomous and unmanned platforms, working closely with cross-functional teams to ensure seamless integration of software and hardware. You'll take ownership of system architecture, manage the full engineering lifecycle, and contribute to the company's rapid growth and innovation in AI and autonomous technology.
As a Staff Software Engineer - Back End, you will lead the technical strategy for significant business outcomes, coordinate multiple teams, and drive innovation. You will also mentor engineers, represent Capital One in external forums, and ensure high service quality standards.
