51 to 75 of 126 CUDA Jobs in England

PyTorch ecosystemExperience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architecturesStrong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloadsStrong communication skills, with the ability to collaborate across research, infrastructure and engineering teamsWhy join us? Highly competitive compensation ...

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). ...

PyTorch ecosystem Experience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architectures Strong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloads Strong communication skills, with the ability to collaborate across research, infrastructure and engineering teams Why join ...

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 — most of the team works from ...

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 ...

Generation systems, including vector database management and semantic search optimization. Preferred QualificationsExperience in the insurance or financial services sector. Deep knowledge of GPU architecture, CUDA, and hardware-level performance optimization. Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction).MUST be fluent in Portuguese and EnglishWe offer ...

systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture , CUDA, and hardware-level performance optimization. Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction). MUST be fluent in Mandarin OR Cantonese ...

clinical data structures and programming with data expert in functional and object-oriented programming. Knowledgeable in Javascript/Typescript, HTML, WebGL, experience in CUDA/GPU-programing, cloud-computing, Github, web-hosting. Strong communication skills and ability to work both, independently and collaboratively, clear in the presentation of complex ...

with tight constraints (latency, memory, bandwidth, power/thermal, or cost). Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL, MLIR, ONNX) and confidence learning adjacent frameworks quickly. Comfort operating at multiple levels of abstraction — from high-level model behaviour ...

systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly. Comfort operating at multiple levels of abstraction — from high-level model behaviour down ...

equivalent Due to security access you must have been in the U.K. for at least five years MATLAB/Simulink OpenGL or Vulkan CUDA or OpenCL FPGA or HDL exposure Video processing or machine learning Experience within defence, aerospace, automotive, or other high‐reliability industries #EmbeddedSoftware #EmbeddedEngineer #Cpp #Linux ...

architectures Optional Bonus Research engagement: advanced degree with research output, top-tier publications (NeurIPS, ICML, MLSys, OSDI), or open-source contributions GPU kernel work - CUDA, Triton, or similar Experience with quantisation, speculative decoding, disaggregated inference, or KV-cache compression Shortlisted candidates will be contacted within 48 hours. #J ...

building performance models or calculators (Python or spreadsheet-based) that actually forecast how a system will behave Hands-on GPU/accelerator code optimisation, CUDA or similar Genuine understanding of how LLMs and deep learning models run on real hardware, training versus inference, matrix multiplication, KV-caching, that level ...

skills: Extensive experience in building AI platforms covering model hosting/inference optimisation and fine-tuning pipelines (LLM experience strongly preferred) Strong Python and CUDA engineering; solid understanding of GPU/CPU architecture and HPC fundamentals Deep inference optimisation expertise: KV-cache, batching, quantisation (INT4/FP8/GPTQ ...

finance, trading, or quantitative research (not required). Publications, competition results (e.g., Kaggle, academic ML contests), or open-source contributions. Familiarity with C++, CUDA, or low-latency systems. Here is why you should join our dynamic team: Opportunity to work at one of the world's leading algorithmic trading ...

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 — most of the team works from ...

deployments, monitoring and alerting stacks, and hardware acceptance and regression testing. Deep familiarity with the NVIDIA technology stack, including HGX platforms, NVLink/NVSwitch, CUDA-level debugging, and NCCL performance tuning. Strong leadership skills with the ability to set technical direction, solve complex problems, and guide engineering teams. Excellent ...

into existing AI and HPC infrastructure. Its current PT-2 system, a rack-mounted quantum computer, connects directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads with significantly lower energy consumption than traditional silicon-based systems. Backed by a strong portfolio of patent families ...

systems, collaborating with software, product management and research teams. You will require BS+10y or MS+7y in CS/ML/Robotics, expert Python and CUDA/PyTorch skills, and a track record in computer vision and model fine-tuning. #J-18808-Ljbffr ...

engineering Familiarity with tools like Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB is a plus Understanding of cutting-edge ML infrastructure stack (e.g. PyTorch, CUDA) is also a plus Experience with Rust is a bonus Willingness to work in-person at our NYC or London office #J-18808-Ljbffr ...

plus; a strong background in mathematics is required. Alternatively, experience training models with strong math skills. Strong coding ability in Rust (preferred), CUDA, or C. Solid understanding of transformer architectures. A product mindset; you’ll build production‐ready products. Hybrid Remote with the London Office. What ...

years of experience working in frontier AI research labs on pre-training or post-training teams. Experience writing TPU/GPU kernels (e.g., JAX, CUDA) to optimize model performance and real-time inference. Experience designing, training, and scaling generative pixel or real-time video architectures. Track record of cross ...

evolve the compute stack. The role shapes platform evolution and enables researchers to push the boundaries of machine learning. You will work with Python, CUDA, Kubernetes, and deep learning frameworks like PyTorch, applying #J-18808-Ljbffr ...

apply advanced techniques, optimize training pipelines on HPC clusters, and integrate ML models into latency-sensitive production environments, using C/C++, Python, and CUDA across large-scale systems. #J-18808-Ljbffr ...

systems for quantitative finance. You will optimize training pipelines, deploy models to low-latency production environments, and work across C/C++, Python, CUDA, and related GPU technologies. Join a fast-paced, collaborative team focused on impactful projects that push the boundaries of AI research and its applications ...