1 to 25 of 82 CUDA Jobs in London

CD.Excellent analytical, problem-solving and communication skills.Desirable experienceVision Transformer architectures.Object detection, tracking, segmentation or pose estimation.Multi-object localisation or multi-modal perception systems.GPU optimisation, CUDA, inference acceleration or edge AI.Real-time computer vision systems.Docker, Kubernetes, Kubeflow or MLOps pipelines.Aerial, satellite or ISR imagery.Synthetic data generation, Unreal Engine or NVIDIA ...

communication skills. Desirable experience Vision Transformer architectures. Object detection, tracking, segmentation or pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation ...

building things properly the first time, even under early-stage constraints. Nice to Have Experience with GPU cluster management and ML training workloads (NVIDIA, CUDA, distributed training). Familiarity with MLOps tooling: Experiment tracking (MLflow, Weights & Biases). Workflow orchestration (Airflow, Prefect, Argo). Data versioning (DVC). Background ...

containerisation. AWS or cloud platform experience. FFmpeg or GStreamer. AI, computer vision or multimodal systems. Video curation or data preparation pipelines. GPU technologies including CUDA, PyTorch, TensorRT or Triton. Batch or real-time processing environments. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position : Software Engineer Location : West London Salary : £50-90k Benefits: Pension, Private medical ...

into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related ...

lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job‐queueing systems before and have the scars to prove it. Maybe ...

environments. Bonus Experience Any of the following would be advantageous: Quantitative finance Machine learning Scientific computing High-performance computing (HPC) Distributed systems GPU programming (CUDA) Optimisation Statistics Numerical methods Time-series modelling Cloud infrastructure Docker or Kubernetes Why This Role? This is an opportunity to work on problems that ...

these — as long as you're open to learning, Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London ...

dependable working rhythm. Experience working with HPC environments or training large models in distributed settings, along with some exposure to GPU-level optimisation using CUDA or ROCm. A track record of taking models end-to-end, particularly in the context of LLMs, is valuable. Prior academic publications or meaningful ...

models.Scale & Performance: Experience training models across distributed systems (multi-GPU/multi-node) and optimising training and inference performance (e.g., XLA, Triton, CUDA, Pallas).Domain Knowledge: A strong interest in, or knowledge of, biochemistry, computational biology, or drug discovery fundamentals.Industry Experience: Proven track record working in reputable tech companies ...

operating large-scale AI, machine learning, or distributed computing platforms in enterprise environments.Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration libraries, and distributed training frameworks such as PyTorch.Strong knowledge of distributed training and inference strategies, including tensor, pipeline, data ...

large-scale AI, machine learning, or distributed computing platforms in enterprise environments. Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration libraries, and distributed training frameworks such as PyTorch. Strong knowledge of distributed training and inference strategies, including tensor, pipeline ...

distributed systems, HPC, or cloud platforms for CPU and GPU workloads.Experience with profiling, benchmarking, or performance analysis.Additional Qualifications (Nice to Have)Familiarity with CUDA or other GPU development frameworks.The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available ...

systems, HPC, or cloud platforms for CPU and GPU workloads. Experience with profiling, benchmarking, or performance analysis. Additional Qualifications (Nice to Have)Familiarity with CUDA or other GPU development frameworks. The minimum base salary for this role is $150,000 if located in New York. This expectation is based ...

degree in Computer Science, Computer Engineering, Mathematics, or a highly quantitative field.Preferred Qualifications:Experience with networking protocols (TCP/IP, UDP) or hardware acceleration (CUDA/GPUs).Familiarity with CVS, git and Linux/Unix environments.Basic understanding of quantitative finance and algorithmic trading.Jefferies is a leading global, full-service ...

Computer Science, Computer Engineering, Mathematics, or a highly quantitative field. Preferred Qualifications: Experience with networking protocols (TCP/IP, UDP) or hardware acceleration (CUDA/GPUs).Familiarity with CVS, git and Linux/Unix environments. Basic understanding of quantitative finance and algorithmic trading. Jefferies is a leading global, full ...

every box, but any exposure to the following would be valuable: High-Performance Computing/HPC C++ Python Rust Java or C# GPU programming CUDA or ROCm Parallel programming Distributed systems Cluster computing Job schedulers or batch-processing frameworks Linux Numerical computing Monte Carlo simulation Quantitative finance Trading technology ...

performance of XTX's training and inference platforms. The remit is wide, and you should expect to be challenged. We are not just writing CUDA code. Amongst other things, you will be working on a sophisticated optimising compiler for a variety of accelerated computing platforms. You should be proficient ...

Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). ...

qualifications:Experience with developing serving infrastructure.Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL).Experience profiling software to identify performance bottlenecks.Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism).Familiarity with writing ...

Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). ...

these — as long as you're open to learning. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London ...

these. As long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture: the team works from our London ...

audience Some Linux administration; understanding setup for HPC middleware. Nice to Haves:5+ years HPC application experienceExperience building and running HPC applications on GPU. CUDA or OpenACC or OpenMP paradigms.Experience running AI models on CPU or GPU.Any experience understanding/inspecting/writing assembly Understanding of memory and cache ...

Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). ...