1 to 25 of 38 CUDA Jobs in the UK

independently drive research projects from idea generation through experimentation and publication. Nice to Have Experience with classical reconstruction tooling (COLMAP etc). C++ or CUDA, and a feel for performance and on-device constraints. #J-18808-Ljbffr ...

Experience with multimodal reasoning or generation, action‐conditioned models, embodied AI, robotics or autonomous systems. Lower‐level programming for hardware efficiency, e.g. C++/CUDA/Triton. Practical familiarity with hardware considerations for deep learning, such as parallelism, memory hierarchy, vector and matrix engines, data movement, bandwidth limits ...

professional industry setting, where you have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data ...

TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review, CI/CD. Self‐starter, low‐ego, collaborative. Benefits France 💰 Competitive cash salary and equity ...

research goals with practical engineering constraints Strong problem-solving skills, results orientation, and excellent collaborative communication Reliable and predictable availability Bonus Points Expertise in: CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC) Knowledge of reinforcement learning ...

Dutch, Swedish, Norwegian, Danish, or Finnish is a plus. Preferred: Familiarity with NVIDIA GPU architectures (H100, A100, H200) and the software stack around them: CUDA, NCCL, cuDNN. Working knowledge of high-performance networking concepts: InfiniBand, RDMA, RoCE, TCP/IP. Background working directly with AI labs, research institutions ...

processing or related areas - Strong problem-solving skills and a thoughtful, structured approach - Good communication skills and a collaborative mindset - Knowledge of GPU/CUDA/OpenCL, video performance beneficial - Good degree Bachelors (2.1 or above), Master or PhD in a STEM subject What’s on offer: - The chance ...

architectures and model optimisation Excellent software engineering and problem-solving abilities Experience working with complex datasets and real-world machine learning challenges Desirable Skills CUDA TensorRT Triton Quantised model training Edge AI deployment Computer Vision Robotics or autonomous systems Advanced C++ development Synthetic data generation What We're Looking ...

scale ML systems, optimise distributed training and inference, and build GPU‐accelerated infrastructure in close collaboration with the founders. The role demands deep Python, CUDA C/C++, and PyTorch expertise, plus strong system design skills and ownership. #J-18808-Ljbffr ...

USVs, UAVs, or autonomous marine shipping. Experience with multispectral or thermal sensor calibration and fusion (EO/IR, LiDAR, Radar). Deep familiarity with CUDA, TensorRT, PyTorch, and OpenCV #J-18808-Ljbffr ...

tech stack that you might not already know. Our current ML infrastructure includes: Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and various model serving frameworks. Fluency in life sciences or drug discovery is a plus but not required to be considered. Working Location & Compensation ...

large-scale ML systems, optimize training and inference, and collaborate with founders to push the boundaries of deep learning. The role demands strong Python, CUDA/C/C++, and PyTorch experience, plus a track record in distributed training and building production ML infrastructure. #J-18808-Ljbffr ...

model, architecting large-scale ML systems and GPU-accelerated infrastructure with close collaboration to the founders. The role requires deep experience with PyTorch, Python, CUDA C/C++, distributed training, and production ML pipelines. #J-18808-Ljbffr ...

optimise training and inference, and build GPU-accelerated infrastructure in collaboration with the founders. This deeply technical role demands hands-on expertise in Python, CUDA C/C++, PyTorch, and distributed ML pipelines, with onsite visits to London as #J-18808-Ljbffr ...

optimize distributed training and inference, and build GPU-accelerated infrastructure while working directly with the founders. This deeply technical role requires strong Python and CUDA C/C++ skills, PyTorch expertise, and proven experience in production ML infra. #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 ...

systems and GPU-accelerated infrastructure while collaborating with the founders to align product and technical roadmaps. Ideal candidates have deep PyTorch experience, Python/CUDA, and a track record in distributed #J-18808-Ljbffr ...

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

exceptional academic record. Experience with HPC, supercomputing or large-scale distributed systems. Research experience involving computational workloads. Experience with parallel programming (MPI, OpenMP, CUDA). Knowledge of scheduling systems such as Slurm, PBS or LSF. Contributions to technical projects, open source or research communities. Experience working with advanced computing … Scale Computing, Scientific Computing, Numerical Computing, Computational Science, Computational Engineering, Performance Engineering, Performance Optimisation, Benchmarking, Profiling, Low Level Programming, C++, C, Python, Fortran, Rust, CUDA, GPU Computing, GPU Acceleration, Parallel Programming, MPI, OpenMP, Multithreading, Concurrency, Algorithms, Data Structures, Systems Design, Kernel Development, Networking, Storage Systems, Distributed Storage, Automation, Infrastructure ...

next-generation foundation model, architecting scalable ML systems and GPU-accelerated infrastructure in collaboration with the founders. You should bring deep PyTorch/CUDA experience, distributed training expertise, and a track record building production ML infrastructure on major cloud platforms. #J-18808-Ljbffr ...

contact and escalation point for the BDM team on complex or high-value matters* Represent Wellington IT at key sector events (e.g. ILCU and CUDA conferences and AGMs) as an ambassador for customer engagement* Build a customer advocacy programme, including case studies, testimonials, and reference points to supportwider business ...

optimizing solutions for the financial services industry.* Familiarity with advanced computing, AI, and/or GPU acceleration platforms and AI frameworks. Knowledge of NVIDIA CUDA, CUDA-X acceleration libraries, NVIDIA AI for Enterprise, NVIDIA Agentic AI platform.* Track record in crafting and implementing systems for real-time processing ...

inference infrastructure Own model quality, performance, and reliability ML Infrastructure & Optimisation Optimise distributed training and inference pipelines Design GPU-accelerated systems, including custom CUDA kernels when needed Profile and optimise data pipelines, training loops, inference, and deployment Build internal tooling, benchmarking systems, and evaluation frameworks Architecture & Collaboration Design scalable … excellence across the ML platform What We're Looking For Must Have Extensive experience designing and building large-scale foundation models Strong Python and CUDA C/C++ expertise Deep knowledge of PyTorch (preferred) or another major deep learning framework Experience optimising and debugging deep learning models Experience with ...

inference infrastructure Own model quality, performance, and reliability ML Infrastructure & Optimisation; Optimise distributed training and inference pipelines Design GPU-accelerated systems, including custom CUDA kernels when needed Profile and optimise data pipelines, training loops, inference, and deployment Build internal tooling, benchmarking systems, and evaluation frameworks Architecture & Collaboration; Design scalable … excellence across the ML platform What We’re Looking For Must Have; Extensive experience designing and building large-scale foundation models Strong Python and CUDA C/C++ expertise Deep knowledge of PyTorch (preferred) or another major deep learning framework Experience optimising and debugging deep learning models Experience with ...

inference infrastructure Own model quality, performance, and reliability ML Infrastructure & Optimisation; Optimise distributed training and inference pipelines Design GPU-accelerated systems, including custom CUDA kernels when needed Profile and optimise data pipelines, training loops, inference, and deployment Build internal tooling, benchmarking systems, and evaluation frameworks Architecture & Collaboration; Design scalable … excellence across the ML platform What We’re Looking For Must Have; Extensive experience designing and building large-scale foundation models Strong Python and CUDA C/C++ expertise Deep knowledge of PyTorch (preferred) or another major deep learning framework Experience optimising and debugging deep learning models Experience with ...