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...
Lead the engineering strategy for end user support across EMEA, focusing on AI-driven automation, operational reliability, and employee technology experience. Build and mentor distributed engineering teams while integrating agentic AI into IT workflows to proactively resolve issues and improve productivity. Collaborate with global and regional stakeholders to align technical roadmaps with business needs and drive innovation in scalable, data-informed IT operations.
This role involves building backend systems for client projects and the core Orbit platform, which delivers automated workflows to reduce business admin. The engineer will integrate AI systems using LLMs like Claude and OpenAI, harden AI prototypes for production, and develop secure, compliant systems with Stripe, Cloudflare, and AWS. A strong focus is on translating business problems into robust, scalable software solutions using modern backend and AI engineering practices.
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What...
As a Full Stack Engineer at Thought Machine, you will work on end-to-end features across the stack, ensuring high standards of security, performance, and user experience. You will collaborate with cross-functional teams to deliver complex solutions for global financial institutions, taking ownership from design to implementation.
Lead the Diagnose & Prescribe (D&P) engineering team responsible for assessing skill gaps, prescribing learning paths, and onboarding learners within an AI-native, event-driven system. You'll own technical direction, team health, and delivery across services with real financial and regulatory impact, while driving AI-native development practices and collaborating closely with Product, Design, and go-to-market teams.
Job DescriptionPurpose of the roleTo drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions...
As a Full Stack Engineer at Thought Machine, you will work on complex engineering problems across the stack, designing and implementing end-to-end features for both backend services and frontend applications. You will collaborate with cross-functional teams to ensure high standards of security, performance, and user experience, while also translating customer requirements into actionable tasks.
This role involves defining and driving the strategy for Vault Core, a flagship core banking platform, ensuring it remains an industry leader in configurability, performance, and resilience. You will work closely with engineering leadership, champion the product externally, and represent the needs of major banks internally.
This role involves architecting and scaling a groundbreaking AI Adoption Platform, building and maintaining AWS infrastructure, and driving technical excellence and mentorship within a high-speed, greenfield environment. The focus is on delivering customer value through robust, scalable systems and continuous improvement.
As a Senior Data Scientist on the Turing team, you will develop and deploy AI systems, including large language models and agentic workflows, to accelerate scientific discovery. You will work with diverse biomedical datasets, collaborate with biologists and engineers, and contribute to the development of new computational approaches for drug discovery.
