1 to 25 of 118 CUDA Jobs in England

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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 ...

necessary Desirable Exposure to computational research involving GPU, including AI/ML methods applied to biomedical problems Experience supporting GPU‐accelerated workloads, NVIDIA tooling, CUDA‐aware environments, and/or AI/ML and bioinformatics workloads on shared compute platforms. Familiarity with bioinformatics or scientific workflow frameworks (e.g., Nextflow ...

premise or HPC infrastructure Infrastructure automation/Infrastructure as Code Strong problem-solving ability Desirable: Kubernetes/Docker AWS, Azure or GCP GPU/CUDA Distributed systems High-performance computing Python, C++ or Go Machine learning infrastructure Financial experience is not required . Why HQL? Build infrastructure from first ...

Spark or distributed data processing * Docker, Kubernetes or Cloud Run * Terraform or other infrastructure-as-code technologies * GPU or accelerated computing technologies such as CUDA, CuPy or Numba * Numerical or high-performance computing * Insurance, finance, risk, analytics or other data-intensive environments Why Join? This is an opportunity ...

related STEM discipline. Senior Software Engineer- DV Security Cleared- Desirable Technical Experience Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis ...

related STEM discipline. Senior Software Engineer- DV Security Cleared- Desirable Technical Experience Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis ...

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 ...

kernel/network tuning, lock-free programming, hardware-aware optimization, or FPGA-adjacent systems. Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live quantitative ...

kernel/network tuning, lock-free programming, hardware-aware optimization, or FPGA-adjacent systems. Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live quantitative ...

Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration‐driven training runs. Containerisation and infrastructure as code: Docker and CUDA‐based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than a console. Strong software engineering ...

Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs. Containerisation and infrastructure as code: Docker and CUDA-based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than a console. Strong software engineering ...

such as latency, throughput, scalability and cost. Direct development experience with FFmpeg or GStreamer. Experience with GPU-accelerated video or AI technologies such as CUDA, PyTorch, TensorRT, Triton Inference Server or NVIDIA DeepStream. #J-18808-Ljbffr ...

/Kubernetes models, including LLM inference. Proficiency in Infrastructure as Code (IaC) tools like Terraform or Ansible. Experience with GPU acceleration technologies (e.g., NVIDIA CUDA) in containerized environments. Familiarity with monitoring tools such as Prometheus and Grafana. Exceptional communication and problem-solving skills with a client-focused mindset. Excellent ...

pipelines and optimizing/productizing ML models. Proficiency in AI/ML frameworks (e.g. PyTorch) and computer vision libraries (e.g., OpenCV, PCL, Open3D, CUDA). Familiarity with various depth sensing modalities (e.g., LiDAR, stereo vision, time‐of‐flight) and sensor fusion. Excellent problem‐solving skills, attention to detail ...

Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open‐source projects ...

Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open‐source projects ...

Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open‐source projects ...

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 ...

Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking ...

Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking ...

resilience, and results in a high‐performance startup environment. Passion for AI, open source, and helping customers achieve real outcomes. Nice to have Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. Experience with MLOps, model monitoring, CI/CD, or observability. Familiarity with AWS, Azure, GCP, serverless systems ...

share technical ideas clearly, support colleagues and work effectively across multidisciplinary teams.* Experience with areas such as DDS and ROS2 communication, edge acceleration, CUDA, TensorRT, cloud-connected robotics, telemetry or JavaScript-based integration would be valuable, but we don't expect one person to bring experience in every area. ...

share technical ideas clearly, support colleagues and work effectively across multidisciplinary teams. Experience with areas such as DDS and ROS2 communication, edge acceleration, CUDA, TensorRT, cloud-connected robotics, telemetry or JavaScript-based integration would be valuable, but we don't'expect one person to bring experience in every area. ...

share technical ideas clearly, support colleagues and work effectively across multidisciplinary teams. Experience with areas such as DDS and ROS2 communication, edge acceleration, CUDA, TensorRT, cloud‐connected robotics, telemetry or JavaScript-based integration would be valuable, but we don’t expect one person to bring experience in every area. ...