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...
As a Senior Software Architect, you will focus on improving communication performance in large-scale GPU clusters, designing and implementing new communication technologies, and exploring innovative solutions for next-generation platforms. You will work closely with GPU, networking, and software architects to co-design data center platforms and accelerate AI and HPC workloads.
This role involves designing, building, and enhancing high-impact trading and research platforms in a fast-moving, highly technical environment. You will work closely with quants, traders, and the CTO, contributing to core trading systems, front-office tooling, and data-driven applications using C# and .NET.
This role involves designing and delivering AI-driven automation solutions to streamline and enhance complex business processes across various workflows. You will collaborate with engineering teams, product managers, and business architects to build scalable automation services and integrate AI/ML capabilities into real business workflows.
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 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 solve critical challenges, lead technical scoping, and act as a technical advisor, translating complex ML concepts for stakeholders.
This role involves designing and implementing deep learning models to optimize ad matching for Amazon’s programmatic advertisement products. You will work with large datasets, develop new ML techniques, and collaborate with product and engineering teams to improve advertising campaign outcomes.
As a Senior Technical Program Manager in InfoSec, you will translate the company's security strategy into engineering reality, driving complex security initiatives and ensuring the protection of proprietary AI models and drug discovery pipelines. You will work closely with engineering and ML teams, navigate architectural roadblocks, and provide leadership with data-driven visibility into program health and risk reduction.
This role involves developing and deploying custom machine learning and LLM-powered systems for customer feedback analysis, including fine-tuning, retrieval, summarisation, and agentic workflows. The scientist will lead experimentation, evaluation, and productionisation of models while mentoring team members and integrating cutting-edge AI research into real-world applications.
As a Talent Partner at Isomorphic Labs, you will play a key role in building world-class teams by developing and executing talent acquisition strategies. You will partner with senior leaders, source top talent, and foster an inclusive culture, contributing to the company's ambitious mission to revolutionise drug discovery through AI.
This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development Platform and GPU Compute platform. Responsibilities include defining SLOs, improving capacity planning, leading incident response, and designing observability systems to ensure resilient and performant cloud infrastructure.
As an Applied Scientist at Wayve Labs, you will work on cutting-edge AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. Your role involves developing and deploying advanced ML models, conducting empirical research, and contributing to the team's long-term goals in embodied AI.
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates to customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will mentor team members, drive technical decisions, and travel to customer sites globally to build practical solutions.
As a Senior Research Engineer, you will join a team of 40+ researchers and engineers working on cutting-edge challenges in generative AI, specifically focusing on high-quality synthetic voices. Your role involves adapting models for new conditioning inputs, fine-tuning speech models, optimizing for real-time performance, and designing new evaluation metrics for TTS systems.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
