3 of 3 LSTM Jobs in London

Senior AI/ML Engineer

Hiring Organisation
Ampstek
Location
City of London, London, United Kingdom
Hadoop, Spark, PySpark, and DataLake architectures. - Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. - Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. - Integrate agentic AI frameworks (LangChain … Tree-Based Models: Decision Trees, Random 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 ...

Senior AI/ML Engineer

Hiring Organisation
Ampstek
Location
London Area, United Kingdom
Hadoop, Spark, PySpark, and DataLake architectures. - Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. - Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. - Integrate agentic AI frameworks (LangChain … Tree-Based Models: Decision Trees, Random 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 ...

AI/ML Principal Engineer

Hiring Organisation
Velocity Talent Ltd
Location
Central London, London, United Kingdom
Employment Type
Contract
Contract Rate
£400 per day £400 a day inside IR35
Spark, PySpark, and Data Lake architectures. Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. Integrate agentic AI frameworks (LangChain … Tree-Based Models: Decision Trees, Random 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 AINLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings Transformers: BERT, ELMo OpenAI Models: GPT-3.5 ...