5 of 5 TensorFlow Jobs in Edinburgh

Senior ML Engineer

Location
City of Edinburgh, Scotland, United Kingdom
model degradation (MLflow, SageMaker, Databricks ML, Vertex AI or comparable) Are comfortable with ML frameworks such as scikit-learn, PySpark MLlib, or PyTorch/TensorFlow, enough to productionise a data scientist’s work, reason about what a model needs from the data, and spot where a training pipeline ...

AI Compiler Optimization Engineer

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

AI Compiler Optimization Engineer (Hybrid CPU/XPU)

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

AI Inference Optimizations Engineer (MLIR/LLVM)

Location
City of Edinburgh, Scotland, United Kingdom
hybrid CPU/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 ...

AI Compiler Optimization Engineer - Edinburgh

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