1 to 25 of 160 CUDA Jobs in England

newsletter mpi virtualisation beegfs cloudkitty sriov cluster training ciuk operations recruitment network overcloud slinky ceph data github ucx galaxy cloud-init storage gpu grafana cuda vm kata ci roce runc dnf StackHPC develops open source cloud infrastructure for research computing, HPC and AI. We are proud to work with ...

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 ...

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 ...

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 ...

data structures, algorithms, and good software engineering practicesSome hands-on experience with AI/ML projects through academic coursework, research, internships, or personal projectsPreferred: CUDA/Graphics Card programmingExperience with specific AI/ML tasks such as computer vision, natural language processing, or time-series analysisFamiliarity with version control ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

camera data processing. Experience with IMU/GNSS-aided sensor fusion. Experience with C++, C# or Python in engineering software. Familiarity with Linux, Docker, CUDA or GPU acceleration. Understanding of navigation, localisation or mapping products. Familiarity with React or web-based visualisation tools. Experience using AI coding assistants ...

camera data processing. Experience with IMU/GNSS-aided sensor fusion. Experience with C++, C# or Python in engineering software. Familiarity with Linux, Docker, CUDA or GPU acceleration. Understanding of navigation, localisation or mapping products. Familiarity with React or web-based visualisation tools. Experience using AI coding assistants ...

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 ...

with engineering and R&D teams.* Programming experience in C, C++, or Fortran, alongside strong Python skills.* Experience with GPU programming technologies such as CUDA, OpenACC, or OpenMP Offload.* Knowledge of parallel programming frameworks including MPI and OpenMP.* Familiarity with build systems, scripting, and batch processing environments.* Experience using ...

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 ...

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 ...

managing capacity planning, autoscaling policies, and driving post-incident remediation. Preferred Experience with low-level systems and high-performance computing components (e.g., C++ development, CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies). Active open-source or production contributions to modern inference frameworks (e.g., vLLM ...

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. ...