26 to 50 of 111 Hugging Face Jobs in the UK

audiences What we need from you: Strong background in NLP and AI, particularly with LLMs and RAG-based solutions Proficiency in Python and modern AI/ML libraries (eg HuggingFace, LangChain, TensorFlow, PyTorch) Experience with data exchange and storage frameworks (eg APIs, SQL, NoSQL, Parquet) Track record of delivering technical solutions in Agile environments Excellent communication skills and a collaborative More ❯

audiences What we need from you: Strong background in NLP and AI, particularly with LLMs and RAG-based solutions Proficiency in Python and modern AI/ML libraries (e.g. HuggingFace, LangChain, TensorFlow, PyTorch) Experience with data exchange and storage frameworks (e.g. APIs, SQL, NoSQL, Parquet) Track record of delivering technical solutions in Agile environments Excellent communication skills and a collaborative More ❯

projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the ability to translate technical insights More ❯

projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the ability to translate technical insights More ❯

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 AWS SageMaker) Strong More ❯

how to fine-tune those 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 technologies eg. AWS, GCP or More ❯

how to fine-tune those 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 technologies eg. AWS, GCP or More ❯

how to fine-tune those 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 technologies eg. AWS, GCP or More ❯

how to fine-tune those 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 technologies eg. AWS, GCP or More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

sharing and technical discussions Skills and experience required Proven experience delivering ML and/or Generative AI projects from concept to deployment Hands-on experience with frameworks such as Hugging Face, LangChain, and open-source LLMs Familiarity with tools such as Databricks and modern MLOps workflows Strong Python skills and familiarity with common data science tools and libraries More ❯

sharing and technical discussions Skills and experience required Proven experience delivering ML and/or Generative AI projects from concept to deployment Hands-on experience with frameworks such as Hugging Face, LangChain, and open-source LLMs Familiarity with tools such as Databricks and modern MLOps workflows Strong Python skills and familiarity with common data science tools and libraries More ❯

with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Preferred Experience: Experience using PostgreSQL for More ❯

the road is unpaved and you have free rein (with the CTO as sparring partner and advisor). Steer buy vs build calls -Evaluate third party APIs (OpenAI, Anthropic, Hugging Face, etc.) versus in house models; drive clear recommendations on cost, performance, and time to value. Drive commercial impact -Measure and iterate on ML powered adoption, upsell ARR More ❯