51 to 75 of 348 Remote/Hybrid PyTorch Jobs

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

model APIs. Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data ...

Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure ...

depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. Mastery of SQL (including advanced optimisation techniques) and experience with ...

depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. Mastery of SQL (including advanced optimisation techniques) and experience with ...

technical leadership across the team. What We're Looking For Strong commercial experience developing machine learning solutions using Python. Experience with frameworks such as: PyTorch TensorFlow Scikit-learn XGBoost Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow ...

collecting technology keywords. Useful experience Experience with some of the following would be valuable, but we do not expect you to know everything: PyTorch, TensorFlow or JAX Hugging Face LLM APIs and open-source models RAG and vector databases Apache Airflow AWS S3 ECS/EKS Redshift Docker Kubernetes GitHub ...

following areas would be highly beneficial: Machine Learning and AI Engineering Generative AI and Large Language Models Prompt engineering and context engineering scikit-learn, PyTorch or TensorFlow LangChain or similar AI frameworks Cloud data platforms and services across AWS, Azure or GCP Data warehouses and modern data platforms Big data ...

technical leadership level, leading engineering teams and influencing senior stakeholders. Strong hands-on experience with Python and modern AI/ML frameworks such as PyTorch and/or TensorFlow . Deep understanding of LLMs, Generative AI, prompt engineering, RAG architectures and vector databases . Experience with frameworks and tooling such ...

with 1+ year hands‐on in LLMs/GenAI projects. Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow. Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models. Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search ...

Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality ...

range of AI concepts, such as LLMs, VLMs, RAG, Agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with machine learning frameworks (PyTorch, TensorFlow etc). Strong proficiency in software development (Python preferred) and strong understanding of data structures and algorithms. Engineering excellence - writing high-quality, maintainable code. ...

related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.Experience of appropriate version control and environment management (such ...

data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience with machine learning libraries (e.g. PyTorch, Tensorflow), cloud platforms (AWS, Azure, GCP), and the analysis of financial or economic data. Experience helping define technical standards, best practices, or ways of working ...

data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience with machine learning libraries (e.g. PyTorch, Tensorflow), cloud platforms (AWS, Azure, GCP), and the analysis of financial or economic data. Experience helping define technical standards, best practices, or ways of working ...

data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience with machine learning libraries (e.g. PyTorch, Tensorflow), cloud platforms (AWS, Azure, GCP), and the analysis of financial or economic data. Experience helping define technical standards, best practices, or ways of working ...