7 of 7 Permanent Semantic Search Jobs in Scotland

development, testing, code review, documentation, and operational support. Help embed responsible AI capabilities into product workflows and platform services, including intelligent assistants, workflow automation, semantic search, knowledge retrieval, and reasoning over compliance and investment information. Build scalable, resilient, and operable systems that balance functional requirements with non-functional … designing and operating APIs, microservices, distributed systems, and event-driven architectures at enterprise scale. Exposure to Generative AI, large language models, retrieval-augmented generation, semantic search, embeddings, knowledge retrieval, or agentic workflow patterns. Strong focus on software quality, including automated testing, TDD, BDD, code review discipline, observability, resiliency ...

problem‐solving skills within agile delivery environments Bonus Points For Experience building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking ...

GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform capability and implementation strategy, and partner with engineering, data, DevOps and business teams ...

asset management. Job Responsibilities Design and implement agentic AI workflows that automate and streamline complex business processes. Design and apply advanced techniques such as semantic search, retrieval‐augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. ...

robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving ...

collaborate across engineering, product, and commercial teams to deliver scalable ML solutions. The role focuses on building, evaluating, and deploying models, improving semantic search, and maintaining production pipelines. #J-18808-Ljbffr ...

continuous learning is essential, with solid NLP and financial knowledge and hands‐on implementation experience. The role focuses on advanced techniques such as semantic search, RAG, NER, prompt engineering, and personalization for content #J-18808-Ljbffr ...