12 of 12 Retrieval-Augmented Generation Jobs in Glasgow

embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with deep learning frameworks such More ❯

to explain complex technical concepts Demonstrated innovative thinking and creative problem-solving abilities Preferred qualifications, capabilities, and skills Knowledge of model fine-tuning and Retrieval Augmented Generation (RAG) Understanding of risk management principles in financial services Experience with large-scale database technologies Background in research or academic contributions in AI/ML Previous experience More ❯

to explain complex technical concepts Demonstrated innovative thinking and creative problem-solving abilities Preferred qualifications, capabilities, and skills Knowledge of model fine-tuning and Retrieval Augmented Generation (RAG) Understanding of risk management principles in financial services Experience with large-scale database technologies Background in research or academic contributions in AI/ML Previous experience More ❯

embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with big data frameworks, with More ❯

embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with big data frameworks, with More ❯

and opportunities it presents in software tools and the development of those tools. Could have: • Experience in a technology innovation role within a professional services business. • Experience in building RAG based GenAI applications within Microsoft Azure • Experience handling highly confidential data within a regulated sector Accessibility We are committed to making all stages of our recruitment process accessible to candidates More ❯

and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented generation), and domain-specific applications. Working within a Data Mesh architecture, collaborating across domains to ensure scalable, interoperable data products; containerising solutions with Docker and More ❯

and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented generation), and domain-specific applications. Working within a Data Mesh architecture, collaborating across domains to ensure scalable, interoperable data products; containerising solutions with Docker and More ❯

this role, you will: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop FullStack applications for both GenAI and non-GenAI projects. Support the development of infrastructure More ❯

object detection (e.g. MobileNet, YOLO). Either way, we’re looking for someone who can help our app understand what the visitor is looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based More ❯

Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with requirements to be on client premises in Glasgow or Edinburgh between 1-4 days a week, so we would need More ❯

applications leveraging existing large language models (LLMs) to deliver business value Research, design, develop, and maintain cutting-edge AI Agent applications Boost AI Agent effectiveness through optimized prompting strategies, RAG pipelines, and purpose-built tool development Build evaluation systems to assess the performance of AI applications and large language models Conduct model performance testing, troubleshoot issues, and refine algorithms to More ❯