11 of 11 Remote Keras Jobs in the UK

similar complex domains Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep experience in applied mathematics, statistical modeling, machine learning, and AI applications Production Impact ...

similar complex domains Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep experience in applied mathematics, statistical modeling, machine learning, and AI applications Production Impact ...

similar complex domains Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep experience in applied mathematics, statistical modeling, machine learning, and AI applications Production Impact ...

years of relevant experience in a similar role Strong programming proficiency in Python Experience with deep learning frameworks (TensorFlow/Keras, PyTorch Lightning) and tools (e.g., Streamlit, LangChain) Familiarity with cloud platforms (AWS, GCP, Azure) Strong experience with Linux/Unix Excellent communication and presentation skills, both written and verbal ...

Computer Science, Engineering, Information Systems, or related field. 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras). 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). 5+ ...

skills in Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular ...

Forest, Gradient Boosted Trees, XGBoost - Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering Deep Learning - ANN, CNN, RNN, LSTM - Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential NLP & Generative AI - NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo … Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone ...

Forest, Gradient Boosted Trees, XGBoost - Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering Deep Learning - ANN, CNN, RNN, LSTM - Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential NLP & Generative AI - NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo … Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone ...

Forest, Gradient Boosted Trees, XGBoost - Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering Deep Learning - ANN, CNN, RNN, LSTM - Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential NLP & Generative AI - NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo … Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone ...

Forest, Gradient Boosted Trees, XGBoost - Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering Deep Learning - ANN, CNN, RNN, LSTM - Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential NLP & Generative AI - NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo … Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone ...

addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working … work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with ...