Future Tech Jobs
Future Tech Jobs
This role involves researching and developing GPU-accelerated techniques for AI and high-performance computing workloads. You'll collaborate with experts in industry and academia to optimize complex algorithms on modern CPU and GPU architectures, while contributing to the design of future hardware and software platforms. The position emphasizes deep technical optimization, publication of findings, and engagement with the developer community.
Research and develop GPU-accelerated techniques for deep learning, machine learning, and AI workloads. Collaborate with technical experts in industry and academia to optimize complex AI and HPC algorithms on modern CPU and GPU architectures. Publish findings in developer blogs or conferences and influence next-generation hardware and software design at NVIDIA.
Lead the development and scaling of a market and customer intelligence program across Medtronic EurAsia, transforming data into strategic insights. Bridge commercial objectives with AI-driven analytics, ensuring decision-ready intelligence is embedded across functions and countries. Drive adoption, governance, and continuous improvement of intelligence frameworks to support regional strategy and customer engagement.
Leads the development and scaling of a market and customer intelligence program across Medtronic EurAsia, transforming data into strategic insights. Focuses on integrating AI-driven analytics with commercial objectives to inform customer engagement, portfolio, and regional strategy. Works cross-functionally to operationalize intelligence capabilities and drive decision-making.
This role involves designing and developing scalable, high-performance microservices for Thought Machine's core banking platform, Vault. Engineers are responsible for writing production-ready code, implementing automated testing, and collaborating across teams to deliver features that meet customer requirements. The role emphasizes best practices in continuous deployment and monorepo development within a cloud-native environment.
Builds full-stack features for cloud-native banking technology, owning requirements from design to deployment. Works across frontend (React/TypeScript) and backend services, focusing on security, scalability, and client-customisable experiences. Collaborates in cross-functional teams to deliver high-impact solutions for global financial institutions.
Lead the design of bespoke, AI-native solutions for high-stakes defence clients, shaping intuitive user interfaces from concept to delivery. Conduct user research, develop wireframes and prototypes, and evolve design systems in collaboration with ML engineers and data scientists. Operate at the strategic level, influencing product direction and driving design excellence across the organisation.
Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge AI research with practical engineering implementation. Work on geometric deep learning, graph neural networks, and diffusion models applied to biological systems. Collaborate closely with engineers to translate research into tools that accelerate scientific discovery in a well-funded life science technology environment.
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.
A Research Scientist in machine learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.
A Research Scientist in machine learning will develop novel AI models and algorithms to accelerate drug discovery, working in interdisciplinary teams to solve complex problems in computational biology and chemistry. The role involves designing deep learning architectures, training and scaling models, and translating research into practical applications. Collaboration with scientists across disciplines is central to advancing Isomorphic Labs’ mission of solving disease through AI.
Microsoft AI Engineer / Azure Artificial Intelligence EngineerThis is a new and exclusive opportunity for a Microsoft AI Engineer / Azure Artificial Intelligence Engineer to join this thriving technology business as they grow their AI Risk Management & Governance teamRole...
Design and build full stack applications that enable users to interact with advanced computer vision and AI systems, focusing on image and video analysis, AI visualisation, and integration with customer infrastructure. Develop intuitive interfaces and workflows in collaboration with engineers and end users, with influence over architecture and technology choices. Work primarily on-site in West London, with some remote flexibility.
This role involves strategic talent acquisition for OpenAI's AI/ML research teams across EMEA, focusing on identifying and engaging leading researchers and technical scientists. The recruiter will work closely with research staff to shape hiring strategies, anticipate talent needs, and guide decisions impacting frontier AI research. It emphasizes deep technical understanding, proactive talent cultivation, and advisory input into candidate evaluation and compensation in a fast-evolving domain.
This role involves managing the full lifecycle of data center infrastructure, from rack installation to decommissioning, while leading technical teams in a high-pressure, innovation-driven environment. The manager will implement automation through Generative AI, ensure compliance with health and safety standards, and support the deployment of next-generation technologies like AI accelerators and liquid cooling. Collaboration with vendors and internal teams is central to maintaining operational excellence across co-located and in-house facilities.
