Future Tech Jobs
Future Tech Jobs
As a Senior HPC DevOps Engineer, you will design and maintain large-scale HPC and AI clusters, implement infrastructure as code, streamline CI/CD pipelines, and automate complex networking and operational tasks. You will collaborate with HPC, OS, GPU compute, and systems specialists to drive innovation and improve workflows.
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on infrastructure as code, CI/CD pipelines, and automation. You will collaborate with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, while also leading R&D activities and sharing best practices.
As a Principal Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates, working closely with data scientists, simulation engineers, and customers. You will mentor team members, design scalable ML systems, and travel to customer sites globally to ensure successful implementation and drive technical innovation.
As a Senior CFD Engineer, you will work closely with Data Scientists, Machine Learning Engineers, and customers to build and deliver high-fidelity multi-physics simulations. Your role involves creating complex models, integrating experimental data, and optimizing workflows using AI and HPC resources. You will also mentor junior colleagues and travel globally to support customers on-site.
Lead and deliver high-impact AI and data science initiatives from concept to production, working closely with senior stakeholders to align projects with business goals. This role combines strategic leadership with hands-on development, driving innovation in machine learning and analytics while mentoring a growing team. Focus on delivering measurable business value through advanced modelling, proof-of-concepts, and scalable solutions in a fast-paced FMCG environment.
As a Senior Research Data Scientist, you will drive the development of advanced AI models and capabilities, focusing on transformer-based architectures and generative AI. You will collaborate with senior leaders, engineers, and academic partners to translate innovative research into scalable solutions, contributing to dunnhumby's long-term AI strategy and thought leadership.
This role involves staying up-to-date with the latest research in code LLMs and agents, designing and implementing scalable training strategies, and leading experiments on state-of-the-art compute infrastructure. You will collaborate with a team of researchers and engineers to develop cutting-edge code generation and agent systems for enterprise use.
This role involves leading data science initiatives to improve supply chain performance through advanced analytics, statistical modelling, and machine learning. The Data Scientist Manager will develop predictive models for demand forecasting and inventory optimisation, working closely with cross-functional teams to translate business needs into data-driven solutions. The position operates within a cloud-based data environment and requires clear communication of insights to both technical and non-technical stakeholders.
As a Lead Engineer on the Application Platform Team, you will guide the development of a modern, unified intelligence layer for AI and real-time data processing. Your role involves hands-on technical work with .NET, Python, React, and cloud-native tools, while also leading and mentoring a team of engineers to deliver high-quality, scalable systems.
As a Research Engineer, you will work at the intersection of research and engineering, developing and deploying ML and computational systems to support rapid experimentation and improve research workflows. You will collaborate with interdisciplinary teams, tackle challenges involving large datasets and complex models, and optimize our hybrid on-prem/cloud environment.
Lead a team of data scientists to develop advanced AI and machine learning solutions for cybersecurity threat detection and prevention within a major UK financial institution. Focus on building scalable, ethical, and production-ready ML systems using GCP, with innovation in LLM-based automation, anomaly detection, and secure model deployment across a hybrid working environment.
This role involves leading the data engineering function within a security and AI innovation lab, focusing on building scalable, secure data platforms and pipelines that support advanced analytics and machine learning. The engineer will define strategy, drive technical execution, mentor teams, and collaborate across security, cloud, and product functions to enable proactive threat defence. Emphasis is placed on secure-by-design principles, production-grade data foundations, and fostering a high-performance engineering culture in a regulated environment.
This role involves developing and refining generative machine learning models for protein design, with a strong focus on real-world biological applications. The candidate will work closely with interdisciplinary teams to translate model outputs into wet lab experiments, iterating based on empirical feedback. A significant component includes optimizing data pipelines, model performance, and staying current with advances in both ML and synthetic biology.
Member of Technical Staff, Applied AIThe opportunityWe are looking for a Member of Technical Staff with deep expertise in generative modelling to work at the interface between our frontier models and the customers who depend on them. You will join...
As a Software Engineer focused on GPU infrastructure, you will play a key role in designing, optimizing, and managing the large-scale AI/ML infrastructure at Isomorphic Labs. You will collaborate with machine learning experts, biotech researchers, and various teams to ensure the efficient and reliable operation of the company's cutting-edge AI models and hardware.
