15 of 15 Permanent Keras Jobs in the South East

Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. ...

Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. ...

pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g. ...

metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI ...

metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI ...

metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI ...

metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI ...

metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI ...

metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI ...

refine routing logic What we expect: Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter ...

refine routing logic What we expect: Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter ...

refine routing logic What we expect: Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter ...

refine routing logic What we expect: Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter ...

refine routing logic What we expect: Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter ...

refine routing logic What we expect: Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter ...