6 of 6 Permanent Hugging Face Jobs in Scotland

results, and make decisions under uncertainty. Deep hands-on experience with modern ML/DL stacks (e.g., PyTorch and/or TensorFlow, scikit-learn, Hugging Face Transformers).Proven experience with distributed training and scalable model serving, using modern architectures, tools, and frameworks. Hands-on experience deploying and operating ...

interpret results, and make decisions under uncertainty. Deep hands-on experience with modernML/DL stacks(e.g., PyTorch and/or TensorFlow, scikit-learn, Hugging Face Transformers). Proven experience withdistributed training and scalable model serving, using modern architectures, tools, and frameworks. Hands-on experience deploying and operating ...

/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP). Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements ...

modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens.* Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK.## **WHAT YOU'LL LOVE ABOUT WORKING HERE**We’re a fantastic team of bright, ambitious ...

certification on artificial intelligence and machine learning concepts and applied experience Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation, and benchmarking of ML systems ...

certification on artificial intelligence and machine learning concepts and applied experienceAdvanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)Hands-on experience evaluating, fine-tuning, and deploying Large Language ModelsStrong grounding in experimental design, evaluation, and benchmarking of ML systemsAbility to bridge ...