12 of 12 Hugging Face Jobs in Northern Ireland

Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector … have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career ...

Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft ...

seamless integration with enterprise systems such as Workday. Extensive experience designing and implementing generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to deliver scalable solutions for tasks such as conversational AI, document summarisation, or content creation. Proven experience with containerisation and orchestration ...

models to production systems in collaboration with engineering teams. Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real‐world problems such as text summarisation, chatbots, or content generation. Basic experience with cloud technologies (e.g., AWS, Azure ...

related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers).Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers) applied to real-world problems.Participation in knowledge-sharing activities such as conferences, workshops ...

with Workday APIs, data structures, and integration patterns is an advantage but not required. Exposure to generative AI concepts or tools (e.g., OpenAI GPT, Hugging Face Transformers) through coursework or self-directed learning. Basic awareness of deep learning concepts (CNNs, RNNs, Transformers) gained through study or personal exploration. ...

field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers).Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers) applied to real-world problems. Participation in knowledge-sharing activities such ...

related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers).Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems.Active participation in knowledge-sharing activities such as conferences ...

field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers).Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems. Active participation in knowledge-sharing activities such ...

with emerging technologies – exploring what works, what scales, and what’s next:Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic.Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs.Developing and testing agentic architectures through ...

software supply chains. You should understand, or be excited to go deep on:Ecosystems such as npm, PyPI, Docker/OCI, Maven, Helm, and Hugging Face.Software supply chain threats such as dependency confusion, typosquatting, malicious packages, maintainer compromise, metadata poisoning, and build-system injection.Artifact and registry concepts: immutable blobs ...

software supply chains. You should understand, or be excited to go deep on: Ecosystems such as npm, PyPI, Docker/OCI, Maven, Helm, and Hugging Face. Software supply chain threats such as dependency confusion, typosquatting, malicious packages, maintainer compromise, metadata poisoning, and build-system injection. Artifact and registry concepts ...