1 to 22 of 22 Hugging Face Jobs in the UK

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. Cutting-edge approaches … to Machine Learning, including transformer models, diffusion models, and adversarial machine learning. Experience in fine-tuning off-the-shelf Large Language Models (Hugging Face transformers, BERT) #J-18808-Ljbffr 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. Cutting-edge approaches … to Machine Learning, including transformer models, diffusion models, and adversarial machine learning. Experience in fine-tuning off-the-shelf Large Language Models (Hugging Face transformers, BERT more »

learning models for OCR, Document Layout Analysis, Named Entity Recognition (NER), Text Summarization, Text Classification, and Normalization. Utilize advanced frameworks like PyTorch, BeRT, and Hugging Face to create robust production-ready systems. Develop with Python at a high level of expertise, focusing on efficiency and scalability. Apply vector … a related field. Proven experience in applied machine learning, with expertise in OCR, NER, Text Summarization, and Text Classification. Strong proficiency in PyTorch and Hugging Face frameworks, with a solid understanding of BeRT and related models. Advanced knowledge of Python, with experience in vector databases or vector extensions more »

field of software engineering, showcasing robust coding proficiency and a profound curiosity for Large Language Models. Expertise in NLP, with experience in PyTorch, TensorFlow, HuggingFace, transformers, and Python. Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience. Experience with Large Language Models more »

database technologies and Semantic Search techniques & tools. Proficiency in programming languages such as Python and experience with NLP libraries such as NLTK, spaCy, Transformers, Hugging Face, BERT and Gen AI frameworks like Llangchain. Llamaindex etc. Data extraction from PDF documents leveraging python packages like Pypdf, Camelot and OCR more »

control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity more »

Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging Face platform to understand and match similar texts. Maths skills and knowledge to get these techniques at a fundamental level in order to more »

stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity with state-of more »

execution. Experience with cloud platforms (AWS, GCP, Azure) Experience with Linux/Unix Strong Plus: Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with more »

data pipelines. This role is critical in ensuring the high performance and reliability of our AI-driven solutions. Responsibilities: Deploy LLMs using platforms like Huggingface, Sagemaker, or similar. Manage deployment on multiple GPUs, ensuring optimal performance. Implement scaling and load balancing to handle varying loads efficiently. Design and maintain data more »

and contributors. Your responsibilities will include collaborating with researchers, ML practitioners and data scientists, making our research models accessible and intuitive to use on Huggingface, Kaggle answering queries and encouraging contributions and research extensions to released work via GitHub and our open science community. As a machine learning engineer focused more »

other three days. About you: You have commercial experience of working with AI, a demonstrable interest in Generative AI concepts such as LLM, OpenAI, Hugging Face, Vision, multi-modal, embedding models, similarity search, dense vector persistence as well as an understanding of Machine Learning concepts - you may have more »

deploy models into production systems, ensuring seamless operation and performance optimization REQUIREMENTS: Proficient in Python development Hands-on experience with Transformer implementation, preferably with HuggingFace Fine-tuning expertise with LLMs Previous experience deploying models, ideally on AWS Ability to script AWS Lambda functions Familiarity with Langchain application development Experience implementing more »

of the latest AI research and ability to efficiently implement these systems. Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.). Nice to Have: Experience as an early engineer at a fast-growing startup. Interest in and consideration of the impacts of AI technology. more »

an exciting journey to build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience in Health Care is essential We would more »

up and the next goal is to build/define the first MVP (features, UX, etc.) of the AI (Artificial intelligence) hub (similar to Huggingface). Working within blockchain a new platform build is about to embark. A complete rebuild from scratch on AI as the foundational layer (an "AI more »

sales talent to the team Adapt Customer Success playbooks for customers in EMEA Strong Plus: Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with more »

specialise in NLP/Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Youll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such …/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in more »

specialise in NLP/Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Youll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such … Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in more »

and taking this through to a fully implemented service that adds business value. key responsibilities: Using the latest LLM tool such as LangChain, LangGraph & HuggingFace too add value across the business and working with stakeholders to identify use cases. Leading the development of APIs to host machine learning services and … in AI and machine learning and communicate these to a non-technical audience, applying new methods and tools such as Lang Chain, Lang Graph, HuggingFace and others. Managing a team of Data Scientists with the intention to grow the team, mentoring and providing technical guidance where appropriate. Planning future work more »

to own the technical success of the pre-sales evaluation of W&B for our prospective customers, serving as the primary knowledge owner and face to our customers. This is a perfect opportunity for anyone with machine learning experience, is customer-oriented, and is looking to work with the … execution. Experience with cloud platforms (AWS, GCP, Azure) Experience with Linux/Unix Strong plus Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray Experience with hyperparameter optimization solutions Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with more »

MACHINE LEARNING ENGINEER REMOTE £70,000 - £90,000 COMPANY: We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry. They are looking more »