6 of 6 TensorFlow Jobs in Bristol

cloud Integrating vector databases, embeddings and semantic search Collaborating with engineering, data and product teams What you'll need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning ...

Mural What You'll Bring 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. ...

development life cycle (sdlc) and agile/iterative methodologies Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make ...

Proven experience as a Machine Learning Engineer with at least 3 years of professional experience. Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras. Experience with image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image ...

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 frameworks ...

code runs smoothly in diverse user environments. You will dive deep into Python internals and build integrations with the latest AI frameworks (PyTorch, TensorFlow, vLLM, etc.). If you love metaprogramming, understanding how imports work under the hood, and packaging libraries for thousands of users, this role … 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 ...