22 of 22 Remote Permanent Hugging Face Jobs

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 ❯

hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter-Efficient Fine-Tuning More ❯

with LLMs such as OpenAI GPT, Anthropic Claude, Mistral, Cohere, or similar. Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain. Experience in fine-tuning, model evaluation, and prompt engineering. Strong understanding of NLP techniques including text classification, summarization, sentiment More ❯

Demonstrated expertise in deploying ASR, LLM, or TTS models in production environments. Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or Hugging Face. Experience deploying and scaling services using cloud platforms (e.g., AWS, GCP, Azure), Kubernetes, and Docker. Strong understanding of microservices architecture, REST APIs, and More ❯

or ML Engineering roles Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks More ❯

unsupervised learning. Applied knowledge of deep learning frameworks such as TensorFlow or PyTorch. Familiarity with transformer-based architectures (e.g., BERT, GPT) and usage of Hugging Face Transformers. Ability to design and implement basic model training pipelines, including data ingestion, preprocessing, and evaluation. Software Development Lifecycle (SDLC) Participation in More ❯

with exposure to computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps More ❯

with exposure to computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps 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 ❯

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 ❯

AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale language models. Proficiency in AWS cloud computing , including Athena, SageMaker, 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 ❯

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 ❯

Keen interest in generative AI (experience with LLMs, GANs, or similar is a plus). Familiarity with AI frameworks such as PyTorch, TensorFlow, or Hugging Face. Strong problem-solving skills and enthusiasm for adopting new technologies. Effective communication skills for collaboration in a hybrid work environment. Why Join? Work More ❯

Keen interest in generative AI (experience with LLMs, GANs, or similar is a plus). Familiarity with AI frameworks such as PyTorch, TensorFlow, or Hugging Face. Strong problem-solving skills and enthusiasm for adopting new technologies. Effective communication skills for collaboration in a hybrid work environment. Why Join? Work 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 ❯

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 ❯

collaboration Comfortable working in Agile, remote-first teams Bonus points for experience in Python/Django environments or AI/ML tools like GPT, Hugging Face, or spaCy Job Title: Senior Angular Engineer Location: Remote, UK Salary: £80,000 - £100,000 per annum Consortia is a specialist recruitment More ❯

At Appwrite we're looking for a AI Engineer to join our team. About the job We're looking for a passionate and curious AI Engineer to join our team and help us explore, prototype, and implement AI-driven features More ❯