Future Tech Jobs
Future Tech Jobs
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
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 a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates into customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will mentor team members, travel to customer sites, and influence product direction by driving reliable and scalable ML systems.
This role involves designing, developing, and deploying Camunda-based process and decision automation solutions for public-sector clients. You will work closely with solution architects, business analysts, and designers to translate workflows into maintainable code, optimize performance, and mentor junior engineers.
This role involves building full-stack applications, AI-powered tools, and automations to improve business operations and user productivity in a top banking organization. You'll work on cutting-edge projects with modern technologies like Python, FastAPI, JavaScript, and AI frameworks, collaborating closely with business stakeholders.
The role involves designing, building, and deploying machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimize model performance, and integrate machine learning capabilities into production systems. The company offers a collaborative environment with exposure to large datasets and cutting-edge technologies.
This role involves developing and optimizing Python-based AI components, integrating LLMs into secure enterprise systems, and working closely with cross-functional teams to operationalize AI services. The position focuses on building core services and capabilities for a Generative & Agentic AI platform in a regulated environment.
The Founding AI Engineer will lead the design and development of an AI-native enterprise platform, working closely with early customers to refine requirements and shape product direction. Responsibilities include building scalable data and AI pipelines, implementing MLOps practices, and contributing to core system architecture and early product design.
This role involves leading a small engineering team within the Chem-Bio (CB) team at the AI Security Institute. Responsibilities include setting technical direction, managing engineers, designing and building reliable systems, and working closely with researchers to translate their needs into well-engineered solutions. The role also involves hiring, shaping engineering culture, and coordinating with other teams across the organization.
This role involves working on the core systems powering avatars and generative media, ensuring scalability, reliability, and extensibility. You will collaborate with product, design, R&D, and adjacent teams to integrate model capabilities and maintain high code quality standards.
As a Machine Learning Engineer, you will work on delivering bespoke AI solutions for diverse clients, focusing on scalable software architecture and best practices. You will collaborate with cross-functional teams to ensure the technical feasibility and timely delivery of high-quality ML systems, and act as a technical advisor to clients and partners.
As a Machine Learning Engineer, you will work on delivering bespoke AI solutions for diverse clients, focusing on the defence sector. You will collaborate with cross-functional teams to build and deploy production-grade ML systems, define best practices, and ensure technical feasibility. The role involves both on-site work with clients and remote flexibility.
This role involves designing and conducting complex data creation tasks using synthetic and model-based methods, as well as coordinating human-in-the-loop data collections. You will work closely with cross-functional teams to ensure the AI systems are best in class, using Python and other tools for data analysis and creation.
This role involves designing and conducting complex data collection and creation tasks to support the development and evaluation of Amazon's AI models. You will work closely with cross-functional teams to ensure the quality and innovation of AI systems, using synthetic data generation, model-supported methods, and human-in-the-loop data collection.
