11 of 11 Keras Jobs in the South West

of hands-on experience in AI and machine learning. Technical Expertise: Strong proficiency in Python. Expertise in machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar. Machine Learning: Solid understanding of supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning. Data Handling: Proficient in data manipulation More ❯

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, OpenCV, Generative AI More ❯

Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

functional programming etc). Ability to write clean, robust, readable, error handling and error tolerant code. Good knowledge of at least one of PyTorch, Keras, or Tensorflow. Working knowledge of core AWS concepts and services such as EC2, ECS, EKS, and DynamoDB. Good knowledge of DevOps and MLOps tools, including More ❯

structured technical documentation for both internal and external use. Key skills required: Solid background in Python, Linux, and Git. Experience in deep learning (TensorFlow, Keras, PyTorch) and statistical validation of medical devices. Fluent in English and French. If this sounds like the kind of opportunity you've been looking for More ❯

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 translating technical More ❯

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 translating technical More ❯

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 cloud platforms. Implement … 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. Experience working in More ❯