26 to 38 of 38 PyTorch Jobs in Scotland

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.Experience operating in complex ...

candidates with the following technical skills:Industry experience working on Agile projects across the full software life cycle.Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, finetuning, and inference PyTorch for deep learning model development and training OpenCV for computer vision tasks and image preprocessing in object detection PIL/Pillow for image manipulation ...

certification on artificial intelligence and machine learning concepts and applied experience Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation, and benchmarking of ML systems Ability ...

STAC ecosystem. Hands‐on experience training, evaluating, and debugging ML models across the modern Python stack – deep learning (CNNs, U‐Nets, vision transformers) using PyTorch, and classical methods (gradient boosting, random forests) with scikit‐learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor‐specific ...

training or certification on artificial intelligence and machine learning concepts and applied experienceAdvanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)Hands-on experience evaluating, fine-tuning, and deploying Large Language ModelsStrong grounding in experimental design, evaluation, and benchmarking of ML systemsAbility to bridge ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience ...

large datasets. Understanding of image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems ...

large-scale inference pipelines, specifically focusing on KV cache management and heterogeneous memory scheduling. AI Serving: Optimising high-throughput frameworks (vLLM, Ray Serve, PyTorch Distributed) to ensure low-latency, multi-tenant performance. Research Leadership: Contributing to top-tier venues (OSDI, NSDI, EuroSys, MLSys) and driving those innovations into real-world ...

throughput improvements Preferred: Experience with LLVM/MLIR development AI Model Profiling & Framework Optimization: Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations) Preferred: Experience optimizing models on multiple ...

boost AI model inference performance on CPU and CPU/XPU hybrid systems, using advanced compiler techniques. You will profile frameworks such as TensorFlow, PyTorch and ONNX, optimize graph execution, and contribute to open research with practical insights and publications. #J-18808-Ljbffr ...

throughput improvements Preferred: Experience with LLVM/MLIR development AI Model Profiling & Framework Optimization: Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations) Preferred: Experience optimizing models on multiple ...