1 to 25 of 269 PyTorch Jobs

ideation or experimental Jupyter notebooks to full production deploym ent.Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-le arn.Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building, and code ...

building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation ...

building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation ...

LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch ...

field Strong proficiency in Python 2-4 years of experience in machine learning or backend software development Hands on experience with ML frameworks (TensorFlow, PyTorch, Scikit learn) Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiarity with model deployment, API development, or real world ML product integration ...

must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Experience with cloud platforms (AWS, Azure, Google Cloud). Knowledge of big data technologies (Hadoop, Spark). Background in supply chain management, pricing ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face ...

indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face ...

minimum of 3+ years of experience in Machine Learning, Data Engineering, or Applied AI roles. Strong proficiency in Python and machine learning frameworks like PyTorch or TensorFlow ; Solid experience with data engineering tools (e.g., SQL, Spark, Airflow, or equivalents); Hands-on experience with cloud platforms (AWS, GCP, or Azure); Proven ...

minimum of 3+ years of experience in Machine Learning, Data Engineering, or Applied AI roles. Strong proficiency in Python and machine learning frameworks like PyTorch or TensorFlow ; Solid experience with data engineering tools (e.g., SQL, Spark, Airflow, or equivalents); Hands-on experience with cloud platforms (AWS, GCP, or Azure); Proven ...

documentation skills. Strong understanding of GPU architectures and LLM hardware/software infrastructures. Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.). Experience with cloud platforms (ideally AWS), containerization technologies (Docker), and deploying AI solutions in a cloud environment. Excellent written and verbal communication skills ...

methods, and familiarity with large language models. Extensive experience with machine learning and deep learning toolkits (e.g. NumPy, Scikit-Learn, Pandas, Hugging Face, TensorFlow, PyTorch, etc.). Experience in building and deploying ML models on AWS, especially using AWS tools like SageMaker, EC2, Glue, etc. Experience with Big Data ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. ...

Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. ...

deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed ...

deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed ...

demos and workshops. Experience leading team of AI/software engineers Experience driving productivity and cost optimisations Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI/Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex ...