1 to 25 of 26 Remote Hugging Face Jobs

This isn't a research role - you won't be training models from scratch. You'll be building production features using tools like OpenAI, Hugging Face, LangChain, and more. This is not a data science role, and it's not about experimental prototypes that never ship. We care … Product, Engineering, and Customer Success to align AI-powered features with user needs. Evaluate, fine-tune, and integrate third-party AI models (e.g., OpenAI, Hugging Face) into our SaaS platform. Define best practices and workflows for integrating AI into a high-growth SaaS product. Contribute to the design … experience deploying AI/ML solutions in a SaaS or product-focused environment. Strong Python skills and hands-on experience with tools like OpenAI, Hugging Face, LangChain, or other LLM frameworks. Familiarity with LLMs, embeddings, RAG pipelines, and integrating AI into user-facing workflows. You know when AI More ❯

Product, Engineering, and Customer Success to align AI-powered features with user needs. Evaluate, fine-tune, and integrate third-party AI models (e.g., OpenAI, Hugging Face) into our SaaS platform. Define best practices and workflows for integrating AI into a high-growth SaaS product. Contribute to the design … working with LLMs, NLP, and ML pipelines to power user-facing features. Strong Python skills and experience with frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with LLM fine-tuning, embeddings, and retrieval-augmented generation (RAG). Practical experience deploying AI models into production environments and More ❯

machine learning models from development to production, ensuring they are scalable, reliable, and efficient. Fine-tune and optimize Large Language Models using frameworks like Hugging Face and LangChain to meet specific business needs. Contribute to the development of new machine learning models and algorithms to improve the accuracy … drive AI innovation forward. Key requirements: Strong proficiency in Python and experience in coding and optimising machine learning models. Hands-on experience with LLMs (Hugging Face, LangChain) and deep learning frameworks like PyTorch and TensorFlow. Experience in model development and the productionisation of AI solutions. Familiarity with techniques More ❯

Technical Expertise: Minimum of 8 years of work experience with hast 4 years in Python; familiarity with frameworks like PyTorch, TensorFlow, and libraries like Hugging Face Transformers. Hands-on experience with LLMs (e.g., OpenAI GPT models, Anthropic Claude) and fine-tuning techniques. Strong understanding of RAG architectures and More ❯

the transformer-based model architecture, training process, and performance assessment of models like BERT. Proficiency with ML frameworks such as PyTorch, TensorFlow, Transformers/Hugging Face is preferred. Education and Experience Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is preferred. Minimum More ❯

and deploying LLM-based solutions in an enterprise setting as a senior/staff scientist. Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy. Strong understanding of LLM architectures (e.g., GPT, BERT, T5) and experience fine-tuning them for specific tasks. Demonstrable experience More ❯

scale. Experience using Python and at least two libraries from the list: PySpark; Pandas/Dask; Numpy; Scikit-learn; Torch/Tensorflow/equivalent); Huggingface; Langchain. Experience owning, building and optimising data pipelines, CI/CD, and ETL processes. Strong analytic skills and successful history of manipulating, processing and extracting More ❯

Academic background with a university degree in Computer Science, software engineering, Machine Learning, or a related field. Strong programming skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain, FastAPI, Flask). Good understanding of ML model architecture and LLMs , including how they are trained, fine-tuned, and deployed on More ❯

participate in the upside of an ultra-growth venture. Have fun. Apply if: You have experience with our stack: Python, LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to More ❯

Requirements Proficiency in at least one programming language (e.g., Python, C#, JavaScript, Kotlin, Java, Go). Experience with Gen AI tools (e.g., LangGraph, CrewAI, Hugging Face, OpenAI APIs) and ML frameworks such as PyTorch/TensorFlow. Experience in building and optimising systems for performance, scalability, and reliability. Strong More ❯

Requirements: Proficiency in at least one programming language (e.g., Python, C#, JavaScript, Kotlin, Java, Go). Experience with Gen AI tools (e.g., LangGraph, CrewAI, Hugging Face, OpenAI APIs) and ML frameworks such as PyTorch/TensorFlow or alternatives. Experience in building and optimising systems for performance, scalability, and More ❯

you! Proficiency in at least one programming language (e.g., Python, C#, JavaScript, Kotlin, Java, Go). Experience with Gen AI tools (e.g., LangGraph, CrewAI, Hugging Face, OpenAI APIs) and ML frameworks such as PyTorch/TensorFlow or alternatives. Experience in building and optimising systems for performance, scalability, and More ❯

practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and More ❯

practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and More ❯

experience in symbolic AI techniques, knowledge representation, and rule-based systems. Experience with large language models (LLMs) and associated tooling( for example OpenAI, Anthropic, Huggingface), and a solid grasp of natural language processing techniques to enhance machine understanding and interaction. Knowledge of vector databases, embeddings, and retrieval-augmented generation style More ❯

cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience: Experience using More ❯

of NLP models. • Build custom language models tailored to specific industry requirements. What We're Looking For: • Proven experience with NLP frameworks such as Hugging Face, spaCy, or TensorFlow. • Hands-on experience working with Large Language Models (LLMs) and deploying them in production. • Advanced Python skills, with the More ❯

equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or More ❯

equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or More ❯

be to: Build out our AI Product Vision using the right technologies to solve today's problems as well as the challenges Birdie will face in the future: Birdie's data footprint doubles every quarter, making it essential to leverage scalable AI solutions to ensure data insights remain actionable … Tools & Frameworks: (to be built upon) TensorFlow/PyTorch for model development. AWS SageMaker or Vertex AI for scalable model deployment. OpenAI APIs or Hugging Face for generative AI applications. What are the benefits? People are our core strength. We are social entrepreneurs, boasting an outstanding culture with More ❯

Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning Applications development life cycle processes and tools - MLOps, including building ETL data pipelines. More ❯

them to real biological datasets. Experience working with large-scale transcriptomic datasets, ideally from non-human organisms (though not required). Experience with PyTorch, huggingface transformers, and diffusers. Experience working with ML accelerators. Nice-to-have Relevant publications in reputable journals or contributions to open-source projects. Exposure to and More ❯

AI, with hands-on experience in model development, evaluation, and deployment. Proficiency with relevant ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace or similar. Experience with modern ML tooling, such as MLflow, Jupyter, feature stores, and vector databases. Understanding of software engineering best practices including version control More ❯

Who are we? IOHK, is a technology company focused on Blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include More ❯

effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster. Founded in 2011 and headquartered in downtown San More ❯