1 to 25 of 26 Hugging Face Jobs in the South East

AI researchers, and data scientists, driving end-to-end AI solution delivery. Designing and implementing AI architectures across cloud and on-prem environments, leveraging tools like PyTorch, TensorFlow, and Hugging Face. Spearheading the development of production ready AI models, from foundational LLMs to custom built cognitive agents, solving real world business challenges. Establishing scalable ML/AI pipelines and More ❯

focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. Proficiency in Python and familiarity with tools like LangChain, PromptLayer, or similar. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with prompt tuning, fine-tuning, or More ❯

focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. Proficiency in Python and familiarity with tools like LangChain, PromptLayer, or similar. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with prompt tuning, fine-tuning, or More ❯

ML workflows with platforms such as Benchling , PubMed APIs , and internal R&D systems Supporting model validation, performance benchmarking, and regulatory documentation Key Technologies & Tools: ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical literature Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow Languages: Python More ❯

projects, test prototypes, and deliver operational improvements. Document solutions and provide light training/support to business users. What We're Looking For: Strong programming skills in Python (PyTorch, Hugging Face, scikit-learn). Experience with fine-tuning/adapting pre-trained AI models . Solid data handling skills (SQL, Pandas, preprocessing for text, audio, or images). More ❯

defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/ More ❯

years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team More ❯

years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team More ❯

years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team More ❯

Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into More ❯

Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into More ❯

Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills Strong communication and collaboration skills Experience mentoring junior team members Willingness to step into More ❯

/RAG/Agentic systems Bonus Points: Experience with fine-tuning embedding models Published papers in NLP, representation learning, or related fields Familiarity with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and similarity search systems What You’ll Work On: Design and implement advanced semantic caching systems Develop and optimize embedding-based retrieval mechanisms More ❯

/RAG/Agentic systems Bonus Points: Experience with fine-tuning embedding models Published papers in NLP, representation learning, or related fields Familiarity with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and similarity search systems What You’ll Work On: Design and implement advanced semantic caching systems Develop and optimize embedding-based retrieval mechanisms More ❯

/RAG/Agentic systems Bonus Points: Experience with fine-tuning embedding models Published papers in NLP, representation learning, or related fields Familiarity with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and similarity search systems What You’ll Work On: Design and implement advanced semantic caching systems Develop and optimize embedding-based retrieval mechanisms More ❯

processing AI & LLM Enablement: Collaborate with data scientists and ML engineers to integrate AI/LLM capabilities into applications Build and expose intelligent APIs that leverage models from OpenAI, Hugging Face, Bedrock, or custom-trained models Support the lifecycle of AI features-from experimentation and fine-tuning to deployment and monitoring Quality, Security & Scalability: Ensure applications follow best More ❯

AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without More ❯

AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without More ❯

real-time ML applications Maintain and improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/ More ❯

compliant, and ethical AI solutions. Requirements: Proven experience leading AI initiatives in banking, capital markets, or insurance. Deep technical expertise in generative AI technologies and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Strong business acumen and ability to align AI with client goals. Excellent leadership, communication, and stakeholder management skills. Passion for innovation and staying ahead of AI More ❯

compliant, and ethical AI solutions. Requirements: Proven experience leading AI initiatives in banking, capital markets, or insurance. Deep technical expertise in generative AI technologies and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Strong business acumen and ability to align AI with client goals. Excellent leadership, communication, and stakeholder management skills. Passion for innovation and staying ahead of AI More ❯

compliant, and ethical AI solutions. Requirements: Proven experience leading AI initiatives in banking, capital markets, or insurance. Deep technical expertise in generative AI technologies and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Strong business acumen and ability to align AI with client goals. Excellent leadership, communication, and stakeholder management skills. Passion for innovation and staying ahead of AI More ❯

compliant, and ethical AI solutions. Requirements: Proven experience leading AI initiatives in banking, capital markets, or insurance. Deep technical expertise in generative AI technologies and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Strong business acumen and ability to align AI with client goals. Excellent leadership, communication, and stakeholder management skills. Passion for innovation and staying ahead of AI More ❯

methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO Master or More ❯

methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO Master or More ❯