Future Tech Jobs
Future Tech Jobs
We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/....
This role involves working closely with top AAA game developers to optimize GPU performance and advance rendering technologies, particularly in path tracing and neural graphics. The engineer will develop and fine-tune AI models and rendering algorithms, collaborate with hardware and driver teams, and contribute to next-generation GPU architecture planning. They will also create technical demos, publish research, and present findings at industry conferences, driving innovation in AI and real-time graphics.
This role involves leading the development of a core component of CrowdStrike’s endpoint security platform, focusing on Windows kernel-mode sensor technology. You'll design and build low-level security features that detect and prevent threats across distributed systems, working closely with cross-functional teams. The position emphasizes performance, scalability, and deep OS internals expertise, particularly in Windows kernel development and cross-platform integration.
Develop and enhance the Windows kernel-mode sensor component of CrowdStrike Falcon Host, focusing on next-generation anti-virus and detection capabilities. Work on low-level OS subsystems including file systems, networking, and memory, with cross-platform integration across Windows, Mac, and Linux. Lead feature development from design through delivery in a distributed, agile environment.
This role involves leading the technical direction and integration of Microsoft-based applications within a global law firm, focusing on Azure, MS Fabric, and Power Platform technologies. The specialist will maintain product backlogs, develop automated workflows, and support AI integration across M365 services. A strong hands-on background in Microsoft stacks and vendor application integration is essential.
This PhD studentship focuses on developing a human-centred AI decision support system for sustainable agriculture, using multimodal data including sensor inputs and farming practices. The project aims to deliver individualised, actionable insights to farmers to improve profitability and environmental outcomes. Work will be conducted in collaboration with Hutchinsons and LEAF, leveraging real-world data and expertise in agritech.
Develop and evaluate advanced optimisation, control, and machine learning techniques—such as reinforcement learning and physics-informed ML—for trajectory control in complex physical systems. Conduct simulations, experimental validation, and publish results in top-tier journals and conferences. Work within a multidisciplinary research group focused on intelligent systems and human–computer interaction.
Leads strategic research in AI for physical systems within a multidisciplinary team at a national institute. Responsible for shaping research direction, securing funding, and managing technical projects across areas like defence, sustainability, and environmental forecasting. Involves line management, grant leadership, and collaboration across scientific domains.
This role involves designing, developing, and evaluating machine learning models and analytical solutions within a collaborative R&D environment. The Data Scientist will bridge the gap between data science and product teams, translating AI strategies for stakeholders and integrating ML solutions into global product development. The position offers exposure to innovative technologies and real-world applications of AI/ML in an internationally used product suite.
Design and refine AI and data science apprenticeship content using backward design and human judgment to ensure real-world impact. Enhance AI-generated material with empathetic, high-touch learning experiences tailored to career-switchers. Lead prototyping of new learning formats while integrating AI tools deliberately into the instructional pipeline.
Develop and scale Unreal Engine 5 applications to generate synthetic imagery for training AI and computer vision models. Collaborate with AI researchers and engineers to automate rendering workflows, improve scene generation, and build production-grade software for secure deployment. Work across technical and non-technical teams to create intuitive tools for scalable synthetic data pipelines.
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.
This PhD studentship focuses on developing hybrid fault diagnosis methods for wind turbine generators by combining physical drivetrain models with AI-driven data analysis. The research aims to improve early detection of mechanical and electrical faults in offshore wind turbines using advanced condition monitoring systems, with work involving analytical modelling, simulations, finite element analysis, and experimental validation. The project addresses a critical gap in current monitoring systems, which struggle with false alarms and poor detection of electrical faults.
This role involves designing, developing, and evaluating machine learning models and advanced analytical solutions within a collaborative R&D environment. The Data Scientist will bridge the gap between data science and product teams, translating AI strategies for stakeholders and supporting the integration of ML solutions into global product development. The position emphasizes innovation, technical documentation, and continuous improvement in methodologies and infrastructure.
