7 of 7 Semantic Search Jobs in Central London

looking for a founding AI engineer to help design and build the core of its AI platform. AI is central to the product, powering semantic search, intelligent matching, assistants, and personalised experiences across web and mobile. You’ll work closely with the founders to design and deliver creative … features that genuinely change how people discover and book services. What you’ll be doing Architect and build AI-driven backend services powering semantic search, natural language interfaces, recommendations and assistants Integrate and deploy LLM APIs (OpenAI, Anthropic, Cohere) and open-source AI frameworks (LangChain, LlamaIndex, LangGraph) into ...

Recommendation and ranking services Classification, quality scoring, and enrichment pipelines Implement and evolve the AI/ML platform, including: Feature and embeddings stores Vector search/semantic search infrastructure Evaluation dashboards, prompt/version management, and feedback loops Own services end-to-end: from design and implementation … teams. Hands-on experience with AI/ML or GenAI in production, such as: Fine-tuning or integrating transformer models Building RAG pipelines and semantic search Working with vector databases (e.g., Pinecone, Weaviate, Milvus, OpenSearch, etc.) Self-motivated and proactive, able to work independently where needed while contributing ...

ship backend systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power intelligent automation and real-time processing. ...

DTAC) Frontend React TypeScript Tailwind Component-driven development AI/RAG/Knowledge Pipelines LLM-powered features RAG pipelines (embedding models, chunking strategies, semantic search) Document extraction/processing (PDF parsing, OCR, agentic pipelines) Clinical content ingestion workflows Evaluation frameworks for safe medical AI responses … support. Nice to Have Experience coding in TypeScript, JavaScript, Python, or similar. Understanding of cloud systems (AWS preferred). Familiarity with LLMs, embeddings, or semantic search. A portfolio of side projects, tools, or apps you’ve built (clinical or not). Experience in a startup or fast-moving environment. ...

experience in production environments. Strong AWS proficiency - hands-on experience building and deploying systems in the cloud. Familiarity with embedding models, chunking strategies, and semantic search. Experience working in a small team or startup environment. A pragmatic problem-solver who balances speed with sustainability. Passion for writing maintainable, scalable ...

Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval accuracy Effective chunking strategies for document ingestion and processing Experience with CockroachDB deployment and management is beneficial Document Processing Experience ...

with AWS services including Glue, Step Functions, S3, DynamoDB, Redshift, Lambda, and EventBridge. Build and optimise vector database solutions and embedding generation pipelines for semantic search. Implement document processing workflows (PDF parsing, OCR, metadata extraction). Integrate data from REST APIs , PIM systems, and potentially SAP. Ensure data quality … boto3) and SQL (complex queries, optimisation). Experience with AWS Glue , Step Functions , and event-driven architectures . Knowledge of vector databases , embeddings, and semantic search strategies. Familiarity with document parsing libraries (PyPDF2, pdfplumber, Textract) and OCR tools. Understanding of data governance , schema validation, and master data management. ...