1 to 25 of 67 Permanent Hugging Face Jobs

SQL, Apache Spark, Hadoop). Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Hugging Face Ecosystem: Demonstrated experience using Hugging Face tools such as the Transformers library, Datasets, and Tokenizers. Familiarity with integrating pre-trained More ❯

or technology-oriented environment. Technical Proficiency: Demonstrated experience with industry-leading commercial cloud, data, and AI platforms (e.g., AWS, Azure, Google Cloud, TensorFlow, PyTorch, Hugging Face, OpenAI). Project Management Skills: Proven ability to manage complex technical projects, with experience in methodologies such as Agile, Scrum, or Waterfall. … inspire and guide project teams toward achieving common goals. Preferred Qualifications: Advanced Technologies: Experience with Generative and Agentic AI technologies and platforms such as Hugging Face, OpenAI, and Google Cloud's Vertex AI. DoD Experience: Direct experience working with Department of Defense clients and projects. Certifications: PMP, PMI 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 ❯

and experiment data to refine models and improve user experience. Required Skill: • Proficiency in programming languages such as Python and familiarity with libraries like Hugging Face Transformers, TensorFlow, or PyTorch. • Deep understanding of language modeling concepts, architectures (e.g., GPT, BERT), and their applications. • Strong analytical and problem-solving 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 ❯

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 ❯

in natural language processing (NLP) and LLMs such as LLaMA, Claude, Mistral, YOLO, or Falcon. Excellent programming skills in Python, with experience using PyTorch, Hugging Face, and other ML libraries. Deep understanding of GPU architectures and performance optimization techniques. Proven ability to deploy deep learning models in cloud More ❯

hands-on experience in low-level programming, particularly in C. Machine Learning Frameworks: Experience using machine learning libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, etc., for model training and fine-tuning. Cybersecurity Knowledge: Strong understanding of core offensive cyber topics. Data Engineering & Preprocessing Skills: Proficiency More ❯

predominantly industry gained) with LLMs (GPT, BERT, T5, Claude) and NLP frameworks Proficiency in prompt engineering, fine-tuning, and function-calling architectures Experience with Hugging Face, OpenAI APIs, and transformer libraries Understanding of model customization for domain-specific tasks Experience with retrieval-augmented generation (RAG) systems Knowledge of More ❯

predominantly industry gained) with LLMs (GPT, BERT, T5, Claude) and NLP frameworks Proficiency in prompt engineering, fine-tuning, and function-calling architectures Experience with Hugging Face, OpenAI APIs, and transformer libraries Understanding of model customization for domain-specific tasks Experience with retrieval-augmented generation (RAG) systems Knowledge of More ❯

Transformer architectures, or computer vision models. At least 1 year of practical experience with LLMs and Transformer models, with proficiency in libraries such as HuggingFace Transformers, Accelerate, and Datasets. Strong mathematical foundation and deep knowledge of deep learning algorithms and neural networks, covering both training and inference. Proficient in problem More ❯

and develop NLP and generative AI solutions using LLM frameworks like LangChain , LlamaIndex , CrewAI , or direct model provider SDKs/APIs (e.g., OpenAI, Anthropic, HuggingFace). Build and fine-tune traditional ML models (e.g., classification, regression, clustering) to support data-driven applications. Create robust and scalable AI pipelines and APIs More ❯

skills in Python or another high-level language commonly used in machine learning. Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn). Experience with information retrieval techniques and structured data extraction from unstructured sources. Hands-on experience with LLM APIs for More ❯

natural language processing (NLP), computer vision, and neural networks. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch ) and LLMs (e.g., OpenAI, Hugging Face). Strong understanding of radio frequency (RF) systems, signal processing, and communication protocols. Experience with satellite communications, including long-haul data transmission More ❯

per week in the London office About You... Experience in AI/ML, LLMs, and NLP Proficiency with Python, AI frameworks (e.g. PyTorch, TensorFlow, Hugging Face), and cloud services (preferably GCP or Azure) Hands-on experience with prompt engineering and/or AI agents (professional or personal projects More ❯

per week in the London office About You... Experience in AI/ML, LLMs, and NLP Proficiency with Python, AI frameworks (e.g. PyTorch, TensorFlow, Hugging Face), and cloud services (preferably GCP or Azure) Hands-on experience with prompt engineering and/or AI agents (professional or personal projects More ❯

models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯

models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯

models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯

we're looking for 4-5 years relevant experience Proficiency in Python or similar programming languages Experience with GenAI tools (LangGraph, CrewAI, OpenAI APIs, Hugging Face) ML fundamentals and LLM expertise (prompt engineering, cost optimization) Cloud platforms (AWS/GCP/Azure) and infrastructure-as-code DevOps tooling More ❯

we're looking for 4-5 years relevant experience Proficiency in Python or similar programming languages Experience with GenAI tools (LangGraph, CrewAI, OpenAI APIs, Hugging Face) ML fundamentals and LLM expertise (prompt engineering, cost optimization) Cloud platforms (AWS/GCP/Azure) and infrastructure-as-code DevOps tooling More ❯

experience in software engineering (or strong portfolio/projects), ideally in Python. Exposure to AI/ML tools, APIs, or foundational models (e.g. OpenAI, Hugging Face, LangChain). Familiarity with cloud services (e.g. AWS, GCP, or Azure) and containerization (e.g. Docker). Interest in or experience with building More ❯

experience in software engineering (or strong portfolio/projects), ideally in Python. Exposure to AI/ML tools, APIs, or foundational models (e.g. OpenAI, Hugging Face, LangChain). Familiarity with cloud services (e.g. AWS, GCP, or Azure) and containerization (e.g. Docker). Interest in or experience with building More ❯