1 to 25 of 107 PyTorch Jobs in the North West

Technical Skills 3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

Technical Skills 3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

Technical Skills 3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

Technical Skills 3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

Technical Skills 3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

Technical Skills 3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

Person Specification Must-Have: Degree in Computer Science, AI, Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes ...

Person Specification Must-Have: Degree in Computer Science, AI, Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes ...

including MLflow. Strong proficiency with Apache Spark, Azure Data Factory, Git, Python and SQL Experience developing, training and deploying machine learning models using TensorFlow, PyTorch or Scikit‐learn. Solid understanding of data modelling, data governance, security and responsible AI principles. Excellent problem‐solving skills with the ability to communicate technical ...

including MLflow. Strong proficiency with Apache Spark, Azure Data Factory, Git, Python and SQL Experience developing, training and deploying machine learning models using TensorFlow, PyTorch or Scikit‐learn. Solid understanding of data modelling, data governance, security and responsible AI principles. Excellent problem‐solving skills with the ability to communicate technical ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding ...

with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector ...

with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector ...

with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector ...

with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector ...

with clean, maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...