Future Tech Jobs
Future Tech Jobs
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define...
In this role, you will serve as a trusted technical advisor, helping customers integrate AI, accelerated computing, and simulation technologies into medical and surgical robotics systems. You will develop proof-of-concept demonstrations, build strategic relationships, and work on impactful healthcare and robotics projects, staying current with the latest advancements in Physical AI and robotics.
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients, focusing on high-impact ML solutions. You will collaborate with cross-functional teams, define best practices, and mentor junior engineers while ensuring ethical and scalable deployment.
As a Senior Software Engineer, you will work on Faculty's ambitious Frontier platform, unifying decision intelligence with AI agents to optimize critical processes in large organizations. You will tackle complex technical challenges, lead best practices, and collaborate with cross-functional teams to integrate and scale the product across various industries, particularly healthcare and life sciences.
This role involves providing high-impact administrative and operational support to senior leadership, managing complex calendars, coordinating cross-functional initiatives, and ensuring seamless execution of meetings and events. The Executive Assistant will act as a trusted partner, proactively solving logistical challenges and maintaining confidentiality across fast-moving priorities in a cutting-edge AI-driven drug discovery environment.
This role involves managing strategic partnerships in a cutting-edge AI-driven drug discovery environment, ensuring alignment between internal teams and external collaborators. You will oversee governance, drive operational frameworks, and support the execution of research and development collaborations. The position plays a key role in scaling alliance management best practices and fostering a collaborative culture across science and business functions.
As a Research Scientist at PhysicsX, you will collaborate with machine learning and simulation engineers to develop AI-driven models for predicting physical system behavior. Your role involves translating complex engineering challenges into mathematical formulations, building and optimizing machine learning models, and communicating results to both technical and non-technical audiences. You will also mentor junior colleagues and contribute to the publication of your work in academic and industry venues.
At Ocado Technology, we craft products tailored to meet the unique needs of our partners worldwide. From e-commerce software and automated warehouse solutions to robotics and optimized delivery, we're reshaping the online grocery space and beyond through innovation.In Poland, we...
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 partnering with engineering leaders to design and implement AI-enhanced development workflows using OpenAI Codex. You will lead workshops, build high-quality demos, and contribute technical content to the OpenAI Cookbook, while gathering insights to shape product direction.
Design and deploy production-grade machine learning systems for clients across energy, utilities, and environmental sectors. Work hands-on to operationalise models, build scalable ML infrastructure, and translate complex AI concepts for stakeholders. Collaborate with cross-functional teams to deliver real-world impact through responsible AI.
This role involves leading the scientific design, validation, and evolution of AI-powered assessment and learning solutions. You will work closely with product leadership, engineering teams, and domain experts to translate advanced research into production-ready systems, ensuring they are fair, explainable, and scalable.
This role involves designing and implementing generative models to understand and control cellular decision-making, using cutting-edge multiomic and interventional datasets. You will collaborate with experimental teams to validate computational hypotheses and contribute to high-impact publications, pushing the boundaries of generative modelling in complex biological systems.
As a Platform Engineer, you will work on developing and scaling hybrid cloud infrastructure, building core platform services, and enhancing CI/CD pipelines. You will collaborate closely with Machine Learning and Data Science teams to ensure optimal performance and reliability, contributing to the mission of advancing drug discovery through advanced machine learning.
This role involves building and maintaining the training framework for large-scale language models, designing distributed training abstractions, and developing tooling to connect research ideas to thousands of GPUs. You will work closely with infrastructure teams to ensure high-performance training and resolve performance bottlenecks across the ML systems stack.
