5 of 5 ONNX Jobs in Scotland

AI Engineer

Location
Glasgow, Scotland, United Kingdom
. DESIRABLE SKILLS: Experience with MLflow, Weights & Biases or similar experiment-tracking tools. Experience with Spark or large-scale data processing platforms. Knowledge of ONNX, TorchScript, FastAPI or gRPC. Experience deploying AI solutions within Azure, AWS or Google Cloud environments.Experience using Docker and containerised deployment approaches. Experience developing software ...

AI Compiler Optimization Engineer

Location
City of Edinburgh, Scotland, United Kingdom
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 ...

AI Compiler Optimization Engineer - Edinburgh

Location
City of Edinburgh, Scotland, United Kingdom
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 ...

AI Compiler Optimization Engineer (Hybrid CPU/XPU)

Location
City of Edinburgh, Scotland, United Kingdom
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 ...

AI Inference Optimizations Engineer (MLIR/LLVM)

Location
City of Edinburgh, Scotland, United Kingdom
/XPU systems. You will implement advanced compiler techniques and profiling to uncover optimization opportunities. You will profile frameworks such as TensorFlow, PyTorch, ONNX, and llama.cpp, propose kernel and graph-level optimizations, and contribute insights from industry research through technical reports. #J-18808-Ljbffr ...