10 of 10 Permanent Hugging Face Jobs in the South East

Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in or … creative freedom. Hybrid flexibility with a vibrant London office. Competitive salary, equity options, and a culture of innovation. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in London More ❯

in SQL/NoSQL databases and API development/integration. Proven ability to analyze model performance and optimize for accuracy, efficiency, and scalability. Exposure to prominent AI frameworks like Hugging Face, LangChain. Preferred/Advantage - Understanding of data structures, algorithms, and solution architecture. Familiarity with major cloud AI platforms (AWS, Azure, GCP). Broad knowledge of various ML More ❯

with graph machine learning techniques such as graph neural networks and graph data science. Proficiency in Python and experience with key NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers, Hugging Face, BERT, Langchain). Hands-on experience with deep learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills, particularly in addressing complex NLP challenges. Excellent communication and More ❯

test AI applications, optimizing performance and scalability. Apply backend/data processing skills to handle structured and unstructured datasets. Stay current with open-source AI/ML frameworks (e.g., Hugging Face, LangChain) and apply them to business needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and 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 ❯

crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew More ❯

optimisation). Skilled in Python, Java, and SQL/NoSQL databases. Experience with APIs, data integration, and web scraping/crawling. Practical exposure to open-source AI frameworks (e.g. Hugging Face, LangChain) and on-premise deployments. Strong consulting and communication skills. Nice to Have: Experience with cloud AI platforms (AWS, Azure, GCP). Knowledge of solution architecture and More ❯

Java, and SQL/NoSQL databases, along with API development and data integration techniques. Practical experience with deploying AI models on-premise and utilizing open-source frameworks such as Hugging Face and LangChain. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Benefits: 25 days annual leave plus a flexible 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. If you want to lead Machine 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 ❯