Future Tech Jobs
Future Tech Jobs
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...
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...
This role involves leading high-impact AI safety research, focusing on red teaming and evaluation of frontier models in high-risk domains such as cybersecurity and CBRN. The scientist will drive technical research from concept to publication, develop safety-focused evaluations, and collaborate with government and commercial partners to shape real-world AI deployment. Work includes advancing mitigation strategies and contributing to national security-focused AI safety initiatives.
This role involves leading the architecture and development of full-stack platforms that translate complex data science and AI insights into scalable, production-grade software solutions. The engineer will work closely with data scientists and product teams to design robust systems, mentor junior developers, and ensure high code quality across both frontend and backend. The position emphasizes technical ownership, innovation within regulated environments, and delivering impactful AI applications for financial and professional services clients.
As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and designing scalable data pipelines. You will also travel to customer sites globally to collaborate on-site and ensure the practical application of AI models.
As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and designing scalable data pipelines. You will also travel to customer sites to collaborate on-site and ensure the practical application of AI models.
This fellowship programme helps academics transition into data science careers through intensive training and a six-week project with a company. Fellows gain practical experience applying AI in real-world scenarios, culminating in a Demo Day to showcase their work and network with industry professionals.
This role involves designing, developing, and maintaining scalable backend services and APIs using Python. You will work closely with architects, product teams, and engineers to deliver high-quality solutions in a fast-paced Agile environment, with a focus on cloud-native development and CI/CD pipelines.
This role involves developing and integrating high-performance ML runtimes for Fractile's novel AI accelerator hardware, focusing on inference server integrations with open-source frameworks like PyTorch, vLLM, and SGLang. Engineers will work closely with hardware and ML teams using a co-design approach to optimise performance. The position emphasizes low-level runtime development in Rust and deep collaboration across software and hardware layers.
This role involves developing and integrating a high-performance Rust-based runtime for AI accelerators, focusing on inference server compatibility with open-source ML frameworks like PyTorch, vLLM, and SGLang. The engineer will work closely with hardware and ML teams using a co-design approach to optimize performance for large language models. Collaboration and ownership in a fast-paced, innovative environment are key aspects of the position.
This role involves leading data and AI initiatives to drive business performance, working closely with various teams to deliver insights and improve decision-making through analytics and emerging technologies. The Lead Data & AI Analyst will focus on developing reporting, dashboards, and performance insights while exploring AI applications to enhance efficiency and customer experience.
As a Senior Data Scientist, you will lead the delivery of advanced data science capabilities, working on innovative projects to help customers unlock value from complex datasets. You will mentor colleagues, shape the future of the data science team, and collaborate closely with project leads and customers to develop and implement cutting-edge solutions.
This role involves designing, building, and deploying machine learning models to support evidence-based decision-making in healthcare. You will work closely with data scientists and engineers to solve complex problems, improve data practices, and promote the responsible use of AI.
The AI Architect will drive the design and delivery of enterprise-grade AI solutions, working at both strategic and hands-on levels. Responsibilities include defining the AI architecture strategy, designing scalable and secure AI/ML solutions, and leading the implementation of data pipelines and model training environments. The role involves close collaboration with data, engineering, and business teams to ensure alignment with governance and regulatory requirements.
This role involves driving digital transformation by identifying automation opportunities, building internal software tools, and implementing AI solutions to improve business efficiency. The candidate will work closely with management to develop data-driven insights, streamline processes, and prototype innovative technologies. It's a hands-on position offering direct impact on how the organisation adopts emerging tech like AI and low-code platforms.
