51 to 75 of 169 Remote PyTorch Jobs

Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to … Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot More ❯

Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to … Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

to keep us at the cutting edge. What We're Looking For Strong programming skills in Python (bonus: C++, Java). Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. Solid understanding of AI algorithms, architectures, and deployment strategies. Familiarity with model optimization, quantization, or on-device inference is a plus. Experience working with cloud platforms (AWS, GCP More ❯

fields. Solid professional experience in machine learning , data science , or applied AI roles. Excellent command of Python . Practical experience with at least one deep learning framework (e.g., TensorFlow , PyTorch ). Comfortable with Git and collaborative development workflows. Proven ability to translate theoretical research into operational AI solutions. Language requirements : Fluent English is sufficient; no other languages are required Nice More ❯

field • Proven experience in data science and machine learning, with a focus on natural language processing and LLMs. • Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or similar. • Strong understanding of data preprocessing techniques, feature engineering, and model evaluation metrics. • Experience with secure data handling and the ability to work within restricted environments. • Excellent problem-solving More ❯

Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

how of designing and implemention synchronous, asynchronous and batch data processing operations Expert level programming skills in Python, along with experience in using relevant tools and frameworks such as PyTorch, FastAPI and Huggingface; strong programming skills in Java are a plus Expert level know-how of ML Ops systems, data pipeline design and implementation, and working with ML platforms (preferably More ❯

this is essential as you'll be the domain expert from day one. Excellent Python programming skills and strong familiarity with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, Keras etc. Proven track record deploying ML models to production (API, batch, or streaming contexts) Solid understanding of the modern software engineering, infrastructure and data technologies Experience working with LLMs More ❯

Experience with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices). Example Tools & Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines: Apache Airflow, MLflow, Kubeflow, dbt, Prefect Cloud & Deployment Platforms More ❯

Engineering, or related technical field 2+ years of experience in AI/ML development with a focus on practical applications Strong proficiency in Python and relevant AI libraries (TensorFlow, PyTorch, Hugging Face) Hands-on experience with workflow automation platforms like N8N, AirTable, and proven track-record. Experience with AI agent development and testing methodologies using Google ADK, LangGraph, Llamaindex Understanding More ❯

Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or Prometheus. Strong More ❯