19 of 19 Permanent Hugging Face Jobs in the Thames Valley

with deep expertise in Python libraries for data analysis (such as Pandas and NumPy) and hands-on experience integrating LLM APIs (e.g., OpenAI, Anthropic, Hugging Face). Strong understanding of LLM concepts, API orchestration, and agentic workflows, with a proven track record in designing, developing, and deploying ...

preferred). 5+ years' experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration ...

feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration ...

feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration ...

feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration ...

feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration ...

driving iterative improvement. Requirements 3+ years of experience in AI/ML engineering, LLM development, or applied data science. Hands-on experience finetuning LLMs (HuggingFace, LoRA/QLoRA, custom datasets, RLHF).Strong programming skills in Python and SQL.Solid experience with MongoDB including schema design, indexing, and aggregation pipelines. Experience with ...

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 ...

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 ...

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 ...

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 ...

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 ...

ultra-growth venture. Have fun Apply if: You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex/LangChain, PyTorch, HuggingFace, OpenAI, Docker, Azure, You have taken entire products or features from ideation to deployment and you've measured their impact. You enjoy diving deep into ...