26 to 37 of 37 NVIDIA Jobs in London

Experience marketing to AI labs, GPU buyers, DevOps teams, or enterprise R&D Familiarity with cloud-native technologies, LLM infrastructure, or ecosystem players like NVIDIA, Hugging Face, or MLOps vendors Background in partner or channel marketing Working knowledge of SEO, SEM, and campaign analytics Benefits Competitive total compensation package (cash More ❯

how to apply them to novel GenAI applications. Embedded experience . When it comes to optimizing, deploying and monitoring ML models for SoCs e.g. Nvidia, Qualcomm, etc., you know how it all works. Our Role Champion work-life harmony . We'll give you the flexibility you need in your More ❯

G2 named us as the fastest growing company in the world. We've raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role We're looking for a Mid to More ❯

we've raised over $330M in funding from top-tier investors, including NEA, Atlassian Ventures, WiL, PSP Growth, and existing investors such as Accel, Nvidia, Kleiner Perkins, GV and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role Synthesia is seeking an experienced SaaS Sales More ❯

we've raised over $330M in funding from top-tier investors, including NEA, Atlassian Ventures, WiL, PSP Growth, and existing investors such as Accel, Nvidia, Kleiner Perkins, GV and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role We are seeking a highly skilled and More ❯

to deliver best-in-class solutions. Technical requirements: Strong technical skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise … in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the More ❯

communication and collaboration skills to work effectively in multidisciplinary teams.• Knowledge of ethical AI practices and laws is a plus. Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such More ❯

communication and collaboration skills to work effectively in multidisciplinary teams.• Knowledge of ethical AI practices and laws is a plus. Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such More ❯

Thoughtworks builds technology that matters. As a Regional Chief Architect - Cloud and Partner Ecosystem, you will be a technical leader focused on cloud and partner-aligned solutions within a designated geographic region. You will serve as the primary technical point More ❯

expertise. You have hands-on experience in C++, Python, and several of the following areas: Kubernetes, PyTorch, MLOps (automated re-training, drift monitoring), TensorRT, Nvidia DeepStream/Gstreamer, and AWS. A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration … TensorRT Plugins, MLIR, TVM, etc). Real-time experience. You've optimized systems to meet strict utilization and latency requirements with tools such as Nvidia NSight. Embedded experience. You've used embedded SoCs, e.g., Nvidia Jetson, Qualcomm, etc. Foundational models experience. You've fine-tuned visual language models or large … know how to apply them to novel GenAI applications. Embedded experience. When it comes to optimizing, deploying and monitoring ML models for SoCs e.g. Nvidia, Qualcomm, etc., you know how it all works. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work More ❯

and Experience: Proficiency in C++ with a strong focus on memory management, multi-threading, and low-level performance optimizations. Experience with GPU architectures (e.g., NVIDIA, AMD) and programming frameworks like CUDA, OpenCL, and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for … GPU-based computation. Strong knowledge of parallel computing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a More ❯

and Experience: Proficiency in C++ with a strong focus on memory management, multi-threading, and low-level performance optimizations. Experience with GPU architectures (e.g., NVIDIA, AMD) and programming frameworks like CUDA, OpenCL, and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for … GPU-based computation. Strong knowledge of parallel computing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a More ❯