Future Tech Jobs
Future Tech Jobs
Design and optimize compiler technology for NVIDIA's Grace CPUs, focusing on performance-critical AI and HPC workloads. Collaborate with global teams and upstream open-source communities to enhance the GNU toolchain and influence next-generation CPU architecture. Work at the intersection of compiler innovation and systems software in a high-impact engineering environment.
Conduct performance analysis and optimization of GPU communication libraries on large multi-GPU and multi-node HPC clusters. Work across the full hardware-software stack to benchmark, triage, and improve performance for deep learning and HPC applications. Develop tools to analyze performance data and collaborate with distributed teams to shape future library roadmaps.
This role involves researching and prototyping secure systems in defence and security contexts, with a focus on emerging threats, post-quantum cryptography, and trusted execution environments. You'll work on embedded and distributed software in adversarial settings, conduct threat analysis, and collaborate with experts across disciplines including AI, autonomy, and RF. The position supports full-cycle development from design to validation within multidisciplinary R&D teams.
Work within a multidisciplinary team to design and build intelligent systems using AI and advanced algorithms, applying cutting-edge research to solve real-world client problems. Engage in hands-on development, model training and testing, and contribute to internal R&D initiatives that push the boundaries of state-of-the-art technology. Communicate technical outcomes to both technical teams and external clients in a collaborative innovation environment.
A Platform Engineer will design and scale Kubernetes-based hybrid compute clusters across private and public clouds, supporting machine learning and data science workflows. The role involves building core platform services, managing CI/CD pipelines, and ensuring system reliability, security, and scalability. Close collaboration with ML and data teams is essential to meet computational demands in a high-impact biotech environment.
This role involves troubleshooting enterprise software, analysing system performance, and supporting technical improvements in a cloud-based environment. You'll work with modern technologies including AI, ML, and NLP, while receiving structured mentoring from experienced engineers. The position offers hands-on experience with business-critical systems and a clear pathway into a software engineering career.
Develop and scale cutting-edge code-generating large language models and autonomous agent systems for enterprise applications. Conduct research, implement novel algorithms, and build production-ready frameworks using state-of-the-art compute infrastructure. Collaborate closely with researchers and engineers in a fast-paced, innovation-driven environment focused on advancing AI capabilities.
Lead Data Scientist | Fully Remote | £90,000–£100,000 + BenefitsBuild the models behind real-time decision making at scale.Why this role stands outThis isn’t just another senior data science position. It’s a chance to shape the future of analytics in one...
Engineer will serve as the primary technical contact for resolving critical issues at Ocado’s largest Customer Fulfilment Centre in Erith, ensuring smooth 24/7 operations through proactive maintenance and improvement of advanced automation systems including conveyor networks, lifts, and cranes. The role involves working across shifts in a high-performance, safety-critical environment with cutting-edge robotics, cloud, and IoT technologies.
This role involves designing, developing, and evaluating machine learning models and advanced analytical solutions within an R&D-style environment. The Data Scientist will bridge the gap between data science and product teams, translating AI strategies for stakeholders and integrating ML solutions into product development. The position offers exposure to global AI projects and collaboration with skilled technical teams.
This PhD studentship focuses on using machine learning to accelerate the inverse design of Graphene Nanoribbons for green energy applications. The project aims to develop AI-guided methods to rapidly discover high-efficiency thermoelectric materials, leveraging interdisciplinary expertise in physics, engineering, and computer science.
This PhD studentship involves using machine learning, DFT, and Boltzmann transport methods to predict and accelerate the computation of electronic properties in complex materials. The project is part of the HetSys Centre for Doctoral Training, focusing on interdisciplinary research with real-world impact in areas like energy, sustainability, and advanced materials.
This role involves designing functional proteins using proprietary generative AI models, bridging machine learning and experimental validation teams. The scientist will iteratively optimize protein designs based on lab feedback, contribute to AI model improvement, and help refine data workflows. The position emphasizes interdisciplinary collaboration, scientific rigor, and innovation in synthetic biology.
This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will lead technical scoping, build production-grade API integrations, and ensure seamless deployment within enterprise environments. They will also act as a technical liaison, gathering feedback to inform product and research improvements while working on-site with international partners.
Junior Prompt Engineer / DeveloperChirk, WrexhamFull-Time, PermanentKronospan is one of the world's leading manufacturers of wood-based panels, with over 40 production sites across four continents. Our Chirk facility in Wrexham, Wales is one of the largest and most advanced wood...
