21 of 21 CUDA Jobs in England

Proven delivery on classified programmes (e.g., AWE exascale, DSTL AI clusters). Certifications: CISSP, OSCP, NCSC CCP (Senior), or equivalent. DESIRABLE SKILLS Secure AI/ML pipelines on HPC (CUDA hardening, PyTorch/TensorFlow). Quantum-resistant cryptography integration. Air-gapped/cross-domain HPC (data diodes, guarded transfers). Cloud-hybrid HPC (AWS HPC, Azure CycleCloud with gov More ❯

CI/CD Deep understanding of ML/DL algorithms, model evaluation, and data engineering Strong communicator and collaborator across technical and business teams Bonus Points Experience with NVIDIA CUDA, cuDNN, TensorRT, and GPU acceleration Familiarity with HPC workloads and vector databases (FAISS, Pinecone) Knowledge of ethical AI frameworks and global compliance standards Why HCLTech? Work on mission-critical More ❯

software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

EO Sensor perceives it. You will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics of the propagation of EM More ❯

EO Sensor perceives it. You will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics of the propagation of EM More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

agent communication patterns Ability to own projects in a collaborative open environment Ability to be a mentor, coach, and sponsor to peers and colleagues Nice to haves: PyTorch, GCP, CUDA, Docker, Kubernetes, BigQuery, large scale distributed systems, vLLM, Ray, Prefect, LangChain, model quantization techniques, distributed inference frameworks, agent orchestration platforms, workflow management systems How You'll be Supported A More ❯

Software environment. Key Skillset Strong C++ knowledge Knowledge of Rhapsody UML Competent with MS word, for reviewing and updating technical documentation. Experience of RTC/EWM would be beneficial CUDA experience would be beneficial Due to the nature of this project the right behaviours are important can-do attitude, proactive & adaptable and strong communicator. More ❯

configuration management tools (Ansible, Puppet, or similar). Experience deploying and operating large-scale GPU clusters or HPC systems. Working knowledge of ML infrastructure and familiarity with GPU drivers, CUDA, and container runtimes. A low-ego, collaborative approach and a clear, proactive communication style. In short: This is a role for engineers who like big systems, hard problems, and More ❯

configuration management tools (Ansible, Puppet, or similar). Experience deploying and operating large-scale GPU clusters or HPC systems. Working knowledge of ML infrastructure and familiarity with GPU drivers, CUDA, and container runtimes. A low-ego, collaborative approach and a clear, proactive communication style. In short: This is a role for engineers who like big systems, hard problems, and More ❯

Skillset/experience required: Strong C++ knowledge Knowledge of Rhapsody UML Competent with MS word, for reviewing and updating technical documentation. Experience of RTC/EWM would be beneficial CUDA experience would be beneficial More ❯

Essential Skills Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines Professional software development experience with modern C++ Experience with GPU compute in CUDA/OpenCL Excellent communication, teamwork and a results-oriented attitude Proficiency in problem-solving and debugging Expertise in image-based 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian More ❯

architectures Develop low-latency inference systems providing real-time, high-accuracy predictions in production Optimise and extend machine learning frameworks to improve training and inference performance Leverage GPU programming (CUDA, cuDNN, TensorRT) to maximise efficiency Automate model experimentation, tuning and retraining in partnership with research teams Work with infrastructure specialists to optimise workflows and reduce compute costs Assess and … ML development and deployment Skills and Experience 5+ years’ experience in machine learning with a focus on training and inference systems Strong programming expertise in Python and C++ or CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar) Background in real-time, low-latency ML pipelines Familiarity with More ❯

architectures Develop low-latency inference systems providing real-time, high-accuracy predictions in production Optimise and extend machine learning frameworks to improve training and inference performance Leverage GPU programming (CUDA, cuDNN, TensorRT) to maximise efficiency Automate model experimentation, tuning and retraining in partnership with research teams Work with infrastructure specialists to optimise workflows and reduce compute costs Assess and … ML development and deployment Skills and Experience 5+ years’ experience in machine learning with a focus on training and inference systems Strong programming expertise in Python and C++ or CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar) Background in real-time, low-latency ML pipelines Familiarity with More ❯

functions in C ATen. Build and validate Python bindings with correct gradient propagation and test coverage. Create "golden" reference implementations in eager mode for correctness validation. Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. Profile, benchmark, and report performance trends at the operator and graph level. Document assumptions, APIs, and performance metrics for reproducibility. … plus. 4) More About the Opportunity Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. Work is asynchronous, flexible, and outcome-oriented. Collaborate with CUDA optimization specialists to integrate and validate kernels. Projects may involve primitives used in state-of-the-art AI models and benchmarks. 5) Compensation & Contract Terms Typical range More ❯