Future Tech Jobs
Future Tech Jobs
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
Lead the development and deployment of machine learning models from problem definition through to production, working with real-world operational data. Focus on rigorous experimentation, statistical reasoning, and integration within secure, regulated environments. Collaborate across technical and non-technical stakeholders to deliver impactful, well-engineered solutions.
Design and build enterprise-scale generative AI platforms, including chatbots, RAG systems, and agentic workflows, integrated into financial data products. Develop production-ready AI infrastructure using Python, LangChain, and cloud technologies on AWS or Azure. Collaborate across engineering and product teams to deploy scalable, full-stack AI solutions that deliver real-time business impact.
This role involves building and deploying data science, machine learning, and simulation models to help organisations make high-value strategic decisions. You'll work hands-on with advanced techniques including forecasting, optimisation, and AI, with a strong focus on LLM-based solutions such as RAG, fine-tuning, and agent-based workflows. The role blends technical delivery with direct stakeholder engagement, requiring translation of complex outputs into actionable business insights across diverse industries.
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.
Designs and governs software architecture and CI/CD pipelines for autonomous military systems, integrating robotics, computer vision, sensor fusion, and simulation platforms. Ensures scalable, maintainable, and safety-compliant software frameworks in a defence R&D environment, supporting real-world field trials with military users.
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.
Leads a team of data scientists and analysts while remaining hands-on with machine learning, predictive modelling, and advanced analytics. Works cross-functionally to translate business needs into scalable data solutions and drives innovation in AI and data science practices. Focuses on delivering measurable commercial impact through data strategy and technical excellence.
Designs and builds scalable data systems to support multi-omics and machine learning workflows in drug discovery. Focuses on optimizing data pipelines, storage layouts, and cloud infrastructure for high-dimensional scientific data. Works closely with data scientists and ML engineers to enable efficient model training and experimentation.
The AI Engineer will design and deploy scalable AI and machine learning systems, focusing on productionizing LLMs and GenAI solutions. Key responsibilities include building RAG pipelines, optimising model performance, implementing MLOps/LLMOps workflows, and ensuring responsible AI practices. The role involves close collaboration with data scientists and architects to deliver secure, real-time AI capabilities within complex digital transformation initiatives.
This role involves building and deploying machine learning models from the ground up in a greenfield environment, focusing on pricing, customer behaviour, and Lifetime Value (LTV) modelling. The Data Scientist will work directly with senior leadership to shape the company's data science strategy and influence technical direction. The position spans multiple business areas including marketing, claims, and customer analytics, with a strong emphasis on ownership and impact.
This role involves providing first-line IT support while gaining hands-on experience with AI implementation, digital transformation, and high-performance computing environments. The engineer will troubleshoot systems, support Microsoft 365 and device management, and contribute to AI research and workflow automation projects. Working closely with the Head of IT, the role offers mentorship and exposure to enterprise infrastructure, cybersecurity, and emerging technologies in a sustainable engineering context.
This role involves designing and building privacy-preserving generative AI systems within a regulated insurance context. The engineer will translate research into production-grade, secure AI components, focusing on data sovereignty, anonymisation, and compliant deployment. Work spans the full lifecycle from prototyping to integration in a multi-partner, multidisciplinary R&D environment.
This role involves designing and building statistical and machine learning models to solve commercial problems in pricing, loyalty, and customer behaviour. You'll work with high-volume data using Python and SQL, collaborate with data engineers to deploy models, and translate insights into actionable recommendations. The position emphasizes ownership, clean cloud-native infrastructure, and direct business impact.
