Future Tech Jobs
Future Tech Jobs
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, memory management, and multi-GPU scaling. You will work closely with customers, partners, and internal teams to deliver measurable performance improvements and develop reference implementations.
As a Solutions Architect at NVIDIA, you will collaborate with pharmaceutical companies and research organizations to accelerate AI-powered drug discovery. Your role involves supporting business development, guiding customers in implementing AI solutions, and driving innovation through proof-of-concept demonstrations and technical training.
This role involves leading machine learning engineering efforts within a research context, focusing on scaling and optimising AI models for high-fidelity physics and engineering simulations. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, working closely with scientists and guiding junior team members. Key responsibilities include defining technical strategy, building scalable ML infrastructure, and mentoring within a collaborative, interdisciplinary team.
This role involves leading the development and execution of comprehensive translational strategies for Isomorphic Labs' oncology pipeline. You will collaborate with interdisciplinary teams, manage a group of biologists, and ensure the successful transition of AI-designed drugs from preclinical to clinical stages, focusing on biomarker and patient selection strategies.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
As Head of Medicinal Chemistry, you will lead a team of 25 chemists in London, driving the development of novel drugs using cutting-edge AI and machine learning. You will provide strategic direction, mentor team members, and collaborate closely with AI/ML scientists to accelerate drug discovery and clinical candidate nomination.
This role involves enabling and optimizing GPU compute workloads on Intel platforms using Vulkan across Windows, Linux, and ChromeOS. The engineer will collaborate with ISVs, open-source communities, and internal teams to develop, debug, and optimize software solutions, while providing technical feedback to shape future Intel GPU technologies. The position emphasizes performance tuning, cross-OS development, and ecosystem engagement for client systems including laptops, desktops, and workstations.
This role involves deep technical work on GPU compute software, focusing on Vulkan-based optimization across Windows, Linux, and ChromeOS. You'll collaborate with ISVs, open-source communities, and internal teams to enable and optimize workloads on Intel GPUs, covering areas like AI/ML, media, and productivity applications. The position emphasizes low-level programming, performance tuning, and influencing future Intel GPU architecture through hands-on software development and partner engagement.
Leads a data science cluster focused on logistics and fulfillment optimization, deploying machine learning and operations research at scale across Ocado's advanced warehouse and delivery networks. Works closely with engineering and product teams to transition research into production systems, driving efficiency in routing, delivery estimates, and forecasting.
The Data Quality Specialist role involves developing and maintaining quality frameworks, creating quality metrics, and implementing prescriptive actions for issues. They work closely with customers, operations, and support teams to optimize workflow quality, analyze data trends, and ensure continuous improvement through regular feedback and documentation.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing AI and machine learning models. You will work closely with analysts and business stakeholders to translate requirements into robust technical solutions, while contributing to data quality, governance, and performance optimization.
The role involves developing and managing mission-critical data pipelines that process large-scale, real-time, and unstructured data from diverse sources. The engineer will design ETL workflows, ensure data quality and security, and collaborate with cross-functional teams using distributed computing techniques. Work focuses on national security applications with a strong emphasis on data integration, modelling, and system optimisation within a secure environment.
This role involves building and optimizing data pipelines to process and manage large volumes of data, enhancing the central data platform, and working closely with stakeholders to support investment decision-making. The successful candidate will have 3-6 years of experience, a strong background in SQL and Python, and direct experience in the hedge fund sector.
This role involves analysing large-scale behavioural datasets to uncover consumer insights and measure advertising effectiveness for global brands. You'll work with digital, media, and emerging AI interaction data, translating complex findings into client-ready reports. The position offers exposure to LLM-driven analytics and the chance to shape new methodologies in a collaborative, entrepreneurial environment.
This role involves deep analysis of unique behavioural datasets combining digital activity, consumer journeys, and AI interactions to solve complex commercial problems for leading brands. The analyst will clean, query, and interpret large datasets using SQL and Excel, delivering actionable insights through post-campaign evaluations and bespoke projects. The position emphasizes autonomy, innovation, and close collaboration with senior stakeholders in a small, high-impact team.
