Future Tech Jobs
Future Tech Jobs
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows on NVIDIA platforms. Responsibilities include CUDA performance optimization, profiling, and working with customer and partner engineering teams to deliver measurable speedups and scalable performance on multi-GPU and multi-node systems.
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, multi-GPU scaling, and HPC techniques. You will work closely with customer and partner engineering teams to deliver measurable performance improvements and support deployment in production environments.
This role involves leading bioanalytical strategy for AI-designed drug candidates across small molecules, biologics, and ADCs, from discovery through preclinical development. The Bioanalytical Lead will design and validate PK, PD, and immunogenicity assays, manage global CROs, ensure regulatory compliance for IND submissions, and integrate wet-lab data back into AI models to improve predictive accuracy. A key focus is bridging computational discovery with experimental validation in a fast-paced, interdisciplinary environment.
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A...
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....
The Principal Software Engineer role involves collaborating with product managers and designers to define and implement AI-driven engineering applications. Responsibilities include leading the development of scalable, modular front-end architecture, ensuring service interoperability, and contributing to company-wide software engineering standards.
This role involves end-to-end execution of single-cell RNA-seq and ATAC-seq workflows, generating high-quality sequencing libraries from perturbation screens. The candidate will work at the intersection of wet-lab genomics and automation, contributing to scalable, ML-ready multi-omic datasets. Close collaboration with computational and engineering teams ensures robust experimental design, metadata integration, and transition of manual protocols to automated platforms.
This role involves enabling and optimizing GPU compute workloads on Intel platforms, with a focus on Vulkan-based applications across Windows, Linux, and ChromeOS. The engineer will collaborate with ISVs, open-source communities, and internal teams to develop, debug, and optimize software solutions leveraging Intel GPU capabilities. Key responsibilities include performance tuning, technical consultation, and influencing future hardware and software architectures through direct feedback to Intel engineering teams.
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 managing the full lifecycle of data center infrastructure, from rack installation to decommissioning, while leading technical teams in a high-performance environment. The manager will drive operational excellence by implementing automation, leveraging Generative AI for workflow improvements, and adopting emerging technologies like liquid cooling and AI accelerators. Collaboration with internal teams and external vendors is essential to maintain safety, reliability, and continuous innovation across global data centers.
This role involves analyzing customer behavior across the full ecommerce journey, from discovery to retention, using cohort analysis, A/B testing, and funnel analytics. The analyst will translate complex data into actionable insights for global retail partners, working closely with product and commercial teams to improve platform performance and customer experience.
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.
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.
