51 to 71 of 71 Semantic Search Jobs in the UK

fast‐growing startups or enterprise software companies Knowledge of financial planning, analytics, or business intelligence domains Experience with RAG systems, vector databases, and semantic search Familiarity with model fine‐tuning, evaluation, and continuous improvement workflows Background in distributed systems, microservices, or cloud‐native architectures Our Commitment to Diversity ...

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 ...

enterprise environmentsStrong knowledge of document parsing OCR and image-based data extractionExperience with LLM orchestration frameworks and prompt designExperience with vector data bases and semantic searchVery Strong programming skills in PythonExperience working with SQL NoSQL data bases and enterprise data integration patternsUnderstanding of evaluation frame works for GenAI systems ...

only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier … tables and APIs. They need context: catalog metadata, schemas, lineage, ownership, quality signals, permissions, relationships, usage patterns, and business meaning. We are building the semantic and experiential foundation that will allow both humans and AI agents to understand and work with Bloomberg’s data safely. This is not about ...

/CD pipelines Excellent problem-solving skills and a collaborative mindset Strong version control skills using Git Preferred qualifications: Experience with NLP or semantic search systems Knowledge of large language models (LLMs) Experience with Terraform or cloud infrastructure management Familiarity with frontend technologies such as React Experience with ...

DevOps, and Architecture teams Drive adoption of AI engineering tools including GitHub Copilot, Cursor, and Claude Code Deliver AI-powered features using LLMs, RAG, semantic search, and intelligent automation Design workflow orchestration solutions using Camunda or similar BPM platforms Lead the implementation of Agentic AI capabilities, autonomous workflows ...

equivalent practical experience. A deep, hands‐on understanding of retrieval systems, RAG, embeddings, vector indexing, and knowledge representation. Experience with knowledge representation, semantic search, or agentic systems. Proven proficiency in Python, including writing production-quality, testable, and maintainable code. Experience scaling or shipping products at high-growth startups. ...

mitigating hallucinations and output errors. Deploy and maintain RAG architecture and LLM pipelines within cloud environments. Optimise data-chunking and text embeddings for optimal semantic search across a large, specialist corpus. Track the competitive landscape and stay current with technological advancements in GenAI. Monitor and optimise agent ...

Science, Research Intelligence & Knowledge Discovery Technology In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while aligning … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high‐performing teams by coaching talent ...

design, develop, and deploy enterprise-grade Generative AI solutions. The ideal candidate will have hands-on experience building LLM-powered applications, vector databases, semantic search systems, prompt engineering, and end-to-end RAG pipelines. Strong proficiency in: Python REST APIs ...

NLP PEOPLE is seeking a Machine Learning Engineer in London (Hybrid) with a focus on NLP and LLMs. You will enhance retrieval systems and shape technical direction. The ideal candidate will have 5+ years of ...

Engineer to join their innovative data team. This role involves developing scalable ML/AI models to enhance the customer experience through semantic search and content recommendation. Key responsibilities include ownership of ML pipelines and collaboration with data scientists and engineers. The ideal candidate has extensive experience ...

London is seeking an AI Engineer to fine-tune open-source models for domain tasks, improve deployment pipelines, and develop context management and semantic search solutions. The role requires hands-on experience with PyTorch, Hugging Face Transformers, and parameter-efficient fine-tuning, plus deploying models with vLLM, Ollama ...

source models (Llama, Mistral, Qwen) for specific domain functions Optimize model deployment pipelines for low latency and high throughput Build advanced context management and semantic search solutions Implement prompt evaluation frameworks and guardrail architectures Requirements 3+ years of experience focusing on Natural Language Processing and Generative AI Hands ...

used by researchers worldwide. You will collaborate with senior data scientists, engineers, product managers, and domain experts to develop agentic workflows, RAG systems, and semantic search enhancements, translating cutting-edge AI into production #J-18808-Ljbffr ...

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 ...

Copilot and AI-assisted development tools to improve engineering efficiency. Contribute to the future evolution of the platform, including AI-driven capabilities and intelligent search functionality. Key Skills & Experience: Significant commercial experience as a Full-Stack Software Engineer. Strong SQL Server and Azure SQL expertise, including: Database design Query … Experience: Experience working within a Microsoft 365 environment. Knowledge of PostgreSQL. Experience with modern AI technologies, including: Large Language Models (LLMs) Embeddings Vector databases Semantic search Experience integrating AI capabilities into business applications. Organisation: Initial 6-month contract Competitive day rate | Outside IR35 Hybrid working | 3 days ...

Senior Fullstack Engineer, you will play a key role in delivering scalable, high‐quality software across the platform, contributing to areas such as semantic search, knowledge systems, and AI‐assisted research workflows. You will be responsible for designing, building, and maintaining end‐to‐end product capabilities, working across … term system quality and sustainability Identify and resolve technical risks, constraints, and dependencies AI‐Enabled Product Development Integrate AI capabilities into product workflows (e.g. search, insights, automation) Collaborate with AI Engineering to incorporate models, services, and pipelines into user‐facing applications Ensure reliability, observability, and performance of AI‐driven ...

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 ...

modern software engineering practices. AI APIs, SDKs and orchestration frameworks such as LangChain, LangGraph, LlamaIndex or similar. Retrieval-Augmented Generation (RAG), vector databases and semantic search. AI agents, workflow automation and orchestration. Cloud platforms such as AWS, Azure or Google Cloud. REST APIs and integration with enterprise applications. Prompt … governance, security, privacy and responsible AI principles. Experience with Microsoft Copilot, Azure AI, AWS Bedrock, Model Context Protocol (MCP), knowledge graphs or enterprise search technologies would be an advantage—though it's not essential. Why Join Vix? This is an opportunity to shape the future of AI within ...

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge ...