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.
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....
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.
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.
As a Data Solutions Lead Senior Manager you will oversee a diverse team of Data Collection owners across four sites in Europe. Your teams will be responsible for end to end execution of high impact data collections that drive improvement...
Design and build scalable, reusable data pipelines on Google Cloud Platform to support enterprise data delivery. Implement configuration-driven frameworks for ingestion and transformation, with embedded data quality and monitoring. Collaborate with data product, analytics, and data science teams to deliver production-ready solutions within a large-scale data strategy programme.
The role involves leading the development and strategy of a UK-focused data apprenticeship product portfolio, with a focus on data literacy, machine learning, and analytics. The candidate will own the product roadmap, drive curriculum innovation, and ensure alignment between technical learning design and client needs. They will work cross-functionally to launch and improve blended learning models while acting as the technical authority in client and internal stakeholder discussions.
This role involves delivering technical training to apprentices in AI and data disciplines through engaging workshops and support sessions. The trainer will assess assignments, provide feedback, and foster a motivating learning environment while aligning with industry standards. Emphasis is placed on ethical data use, continuous development, and building strong connections between apprentices and Multiverse’s mission.
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.
