11 of 11 Remote TensorFlow Jobs in Bristol

algorithms and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt More ❯

and on-premises deployments. Required Qualifications: Strong experience in AI/ML development focusing on LLMs and biomedical NLP. Proficiency in deep learning frameworks (TensorFlow, PyTorch). Experience with MLOps tools and cloud environments (AWS, Azure, GCP). Expertise in model inference optimization techniques. Understanding of biomedical ontologies and More ❯

popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to-haves: NLP More ❯

popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to-haves: NLP More ❯

model development. Practical experience implementing large language or machine learning models within an organisation. Strong programming skills in Python and familiarity with frameworks like TensorFlow or PyTorch. In-depth knowledge of NLP techniques, including tokenisation, embeddings, transformers, and attention mechanisms. Good statistical/data skills, especially with large-scale More ❯

projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience More ❯

projects Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets Skilled in More ❯

week. Experience for the Machine Learning Engineer includes: Experience developing and deploying ML models for optimisation or simulation Proficiency in Python and ML frameworks (TensorFlow, PyTorch) Bonus: Cloud platforms (AWS, GCP, Azure) If you are a Machine Learning Engineer looking for an exciting challenge in a fast-paced, collaborative More ❯

week. Experience for the Machine Learning Engineer includes: Experience developing and deploying ML models for optimisation or simulation Proficiency in Python and ML frameworks (TensorFlow, PyTorch) Bonus: Cloud platforms (AWS, GCP, Azure) If you are a Machine Learning Engineer looking for an exciting challenge in a fast-paced, collaborative More ❯

Data Science Manager - Gen/AI & ML Projects - Bristol Salary: Negotiable up to £90,000 Dependent on Experience Hybrid working - Bristol (2-3 days per week in the office) Ref No: J12952 Please note we can only accept applications from More ❯

AI solutions. Preprocess and analyse visual data using OpenCV, scikit-learn, and scipy to extract meaningful insights. Train and fine-tune AI models using TensorFlow/Keras, PyTorch, PaddlePaddle, and other relevant frameworks to achieve high accuracy. Optimize AI models using OpenVINO for efficient inference on edge devices and …/C++ for AI model development and inference. Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications. Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimisation. Strong analytical and problem-solving skills with the ability to handle large-scale data. More ❯