1 to 25 of 35 CUDA Jobs in London

with Infrastructure as Code (Terraform). Experience with Azure. Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus). Experience in building design automation products within the construction industry. Additional InformationOur Hiring Process 25-minute screening call Take ...

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 ...

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 ...

managing the 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 you don’t tick ...

environments. Bonus Experience Any of the following would be advantageous: Quantitative finance Machine learning Scientific computing High-performance computing (HPC) Distributed systems GPU programming (CUDA) Optimisation Statistics Numerical methods Time-series modelling Cloud infrastructure Docker or Kubernetes Why This Role? This is an opportunity to work on problems that ...

degree in Computer Science, Computer Engineering, Mathematics, or a highly quantitative field.Preferred Qualifications:Experience with networking protocols (TCP/IP, UDP) or hardware acceleration (CUDA/GPUs).Familiarity with CVS, git and Linux/Unix environments.Basic understanding of quantitative finance and algorithmic trading.Jefferies is a leading global, full-service ...

reinforcement learning, or generative AI (a plus, not required) Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus) Additional InformationOur Hiring Process25-minute screening callTake-home challenge: A hands-on task to assess your problem-solving and technical ...

models.Scale & Performance: Experience training models across distributed systems (multi-GPU/multi-node) and optimising training and inference performance (e.g., XLA, Triton, CUDA, Pallas).Domain Knowledge: A strong interest in, or knowledge of, biochemistry, computational biology, or drug discovery fundamentals.Industry Experience: Proven track record working in reputable tech companies ...

operating large-scale AI, machine learning, or distributed computing platforms in enterprise environments.Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration libraries, and distributed training frameworks such as PyTorch.Strong knowledge of distributed training and inference strategies, including tensor, pipeline, data ...

distributed systems, HPC, or cloud platforms for CPU and GPU workloads.Experience with profiling, benchmarking, or performance analysis.Additional Qualifications (Nice to Have)Familiarity with CUDA or other GPU development frameworks.The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available ...

every box, but any exposure to the following would be valuable: High-Performance Computing/HPC C++ Python Rust Java or C# GPU programming CUDA or ROCm Parallel programming Distributed systems Cluster computing Job schedulers or batch-processing frameworks Linux Numerical computing Monte Carlo simulation Quantitative finance Trading technology ...

qualifications: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).Familiarity with writing ...

infrastructure and containerised environments. A track record of taking research code from prototype to robust, reusable infrastructure that other people actually use. Bonus experience : CUDA/Triton kernel development; FlashAttention-style attention implementations; experience with foundation models for biology, vision, or language; contributions to open-source ML frameworks. Personally ...

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 ...

Retrieval-Augmented 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 EnglishMinorities, women, LGBTQ+ ...

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 ...

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 ...

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, MLIR, ONNX) and confidence learning adjacent frameworks quickly.Comfort operating at multiple levels of abstraction — from high-level model behaviour down ...

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 ...

computational fluid dynamics (CFD), combustion, heat transfer, atmospheric dynamics, meteorology, weather forecasting, or stochastic simulation Desired: Experience with parallel computing, HPC, GPU acceleration or CUDA If you are a Software Engineer looking to apply your scientific software expertise to cutting-edge climate technology and help develop solutions that improve ...

they are looking for a Senior Machine Learning Engineer to join their expanding team in London. Required Experience Strong C++ development skills. Experience with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning ...

vision concepts including segmentation, pose estimation, and embeddings. Experience building production ML systems and inference pipelines. Strong Python engineering skills. Experience with GPU optimisation, CUDA fundamentals, TensorRT, or ONNX is advantageous. Experience in fashion, e-commerce, creative tooling, gaming avatars, or virtual try-on is highly desirable. Additional InformationBeneFITS ...

technology that will power the next generation of AI What We’re Looking For Strong C/C++ programming experience Experience with GPU programming (CUDA, OpenCL, HIP, or similar) Strong understanding of parallel computing and computer architecture Experience optimising high-performance workloads Passion for building cutting-edge technology ...

purely academic backgrounds. Full-stack depth: distributed training frameworks such as Megatron-LM, DeepSpeed or FSDP, GPU performance work, and experience down to the CUDA, Triton or XLA level. Contributions to open-source ML frameworks or research codebases. They genuinely value this. Strong software engineering habits. Clean code, good ...

deep learning models in PyTorch (not just using high-level tooling).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 to low-level ...