9 of 9 Contract Retrieval-Augmented Generation Jobs in the UK excluding London

Strands Agents, LangGraph, or similar LLM integration and fine-tuning (Claude, GPT-4, or equivalent) Strong prompt engineering skills, including chain-of-thought reasoning RAG & Knowledge Systems Implementation of Retrieval-Augmented Generation (RAG) pipelines Experience with vector databases such as CockroachDB, Pinecone, or similar ...

Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge ...

ensure informed decisions are made on the application design and testing approaches. - Contributing to technical decision making alongside colleagues, including Generative AI solutions around RAG and prompt engineering. - Contributing to the required documentation and Agile project maintenance responsibilities. - Helping to design and develop incoming features around sentiment analysis, data ingestion ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

additional AI Engineer join the existing team on a expanding project. This role will be shipping production-grade GenAI features (e.g., retrieval-augmented generation, assistants, summarisation) that are safe, reliable, and measurable. This role is based in a Local office. This role will … guardrail incidents, drift, telemetry dashboards Required Skills & Experience: Python for application glue; Fast API for inference/middleware services. LLM integration patterns (prompt engineering, RAG, tool-use/agents, function calling). Evaluation & safety: automated prompt/response evals, LLM-as-a-judge, red-teaming, content filters, guardrails. LLMOps practices ...

business. What You'll Do Design and implement a comprehensive AI testing and evaluation framework for all AI solutions, including LLM-based tools, RAG systems, and third-party platforms. Define and document quality standards for semantic accuracy, factual consistency, bias, tone, and relevance. Develop reusable testing templates, data sets … tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches for GenAI environments. Knowledge of modern AI architectures (RAG pipelines, embeddings, API integrations such as OpenAI, Azure OpenAI, Anthropic). Experience designing and implementing structured test regimes in fast-evolving contexts. Excellent communication ...