Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaboration with cross-functional teams and publishing original research are key aspects of this role.
This role involves designing and operating a Kubernetes-based MLOps platform that supports the full machine learning model lifecycle, from experimentation to scalable inference. The engineer will enable data scientists and ML teams with robust, secure, and user-friendly tooling while ensuring platform reliability, security, and operational excellence in production environments. It combines deep technical delivery with cross-functional collaboration to build platforms that support both traditional ML and LLM workloads.
This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.
As an AI Deployment Strategist, you will partner with business units to identify and scope high-impact AI and automation opportunities, lead discovery and scoping sessions, and build AI agents and workflows using Python and LLM frameworks. You will work closely with the AI Deployment Engineer and other teams to translate business problems into working AI solutions and drive adoption across the organisation.
The AI Deployment Strategist will partner with business units to identify and scope high-impact AI and automation opportunities, lead discovery and scoping sessions, and build and deploy AI solutions. You will work across teams like ops, finance, sales, and support, translating business problems into working AI solutions and driving adoption.
Fractile is building silicon, systems, and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about...
The Product Manager will lead the development of AI solutions for enterprise clients, working closely with cross-functional teams to understand customer needs, define product requirements, and manage the end-to-end product lifecycle. The role involves collaborating with executives and driving the commercialization of AI applications across various industries.
JOB ID:FEQ227R117Location:London, United KingdomIndustry:Professional Business Services (Consultancy, Legal, etc)At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science...
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...
This role involves collaborating with public sector clients to build and deploy full-stack AI applications that solve complex challenges. Responsibilities include scoping projects, architecting production-grade applications, managing cloud infrastructure, and working closely with design, product, and data teams.
This role involves leading the technical strategy for public sector AI projects, converting mission requirements into robust architectural roadmaps, and guiding on-site implementation. You will architect production-grade AI applications, ensure cloud infrastructure security and scalability, and mentor senior and junior staff to align with a cohesive technical vision.
This role involves leading the design and implementation of modern data platforms, including data pipelines, warehouses, and lakes. You will focus on AI-ready systems, governance, and collaboration with cross-functional teams to drive strategic data initiatives.
This role involves designing and delivering scalable data platforms, building and optimizing data pipelines, and defining data governance standards. You will work closely with cross-functional teams to deliver end-to-end data solutions and support AI and machine learning workflows.
As a member of our team in NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into the performance characteristics of these applications. The applications...
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
