1 to 25 of 31 Contract Retrieval-Augmented Generation Jobs in London

Engineer (RAG) - Contract - 6 months - London - Outside IR35 Contract Length: 6 months Rate: £500 per day - Outside IR35 Location: London/Hybrid working Overview We are seeking an experienced AI Engineer to join on a 6-month contract, supporting the design and development of AI-driven solutions with a strong … improving system reliability, performance, and scalability through continuous improvement. Required Skills & Experience Proven experience in AI Engineering, specifically working with RAG (Retrieval-Augmented Generation) approaches. Strong Python development experience in a production environment. Solid software engineering background, with experience designing and building reliable systems. ...

Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply ...

Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply ...

models for production use Build, maintain and enhance prompt engineering strategies and retrieval-augmented generation (RAG) pipelines Collaborate with architects, cloud teams and business stakeholders to ensure secure, scalable and robust deployments Conduct unit and integration testing, troubleshoot issues and support smooth releases into …/CD pipelines and MLOps practices for AI solutions Hands-on experience in model development and fine-tuning Deep expertise in prompt engineering and RAG solution design Performance monitoring and optimisation of AI models Experience developing and deploying APIs using API Gateway Familiarity with Azure cloud services for LLM deployments ...

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 ...

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 ...

core QA coordination tasks. Responsibilities: Design & Implement NLP Pipelines: Parse, understand, and extract key information from unstructured Release Notes and Test Policy documents. Develop RAG Systems: Fine-tune a Retrieval-Augmented Generation (RAG) system, training models on QA policies for accuracy and context-awareness. ...

consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing … security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering and understanding of LLM behavior and optimization. Practical knowledge ...

consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing … security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering and understanding of LLM behavior and optimization. Practical knowledge ...

more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply ...

pipelines and structured reasoning. GenAI Application Engineering Integrate LLMs into applications usingLangChain,LlamaIndex,Haystack,AutoGen and OpenAIs Assistant API patterns. Build high-performance RAG pipelines using: hybrid search, reranking, embedding optimization, chunking strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering ...

problem-solving and technical storytelling abilities. Commitment to ethical AI deployment. Key Skills Advanced Python and backend languages. Expertise in prompt engineering, fine-tuning, RAG, and agentic design. Familiarity with AI tools (GitHub Copilot, ChatGPT, SonarQube, LangChain, etc.). Understanding of observability, security, and compliance in AI systems. Experience with ...

problem-solving and technical storytelling abilities. Commitment to ethical AI deployment. Key Skills Advanced Python and backend languages. Expertise in prompt engineering, fine-tuning, RAG, and agentic design. Familiarity with AI tools (GitHub Copilot, ChatGPT, SonarQube, LangChain, etc.). Understanding of observability, security, and compliance in AI systems. Experience with ...

building GenAI applications using Python Hands-on experience with API development and Microservices architecture and end to end integrations Knowledge of RAG (Retrieval-Augmented Generation ) and ADK, MCP Solid understanding of LLMs, prompt engineering, and graph-based workflows Hands-on experience with API development ...

fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores … ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape ...

/LLM Engineer (Contract) - RAG Implementation … London (Mostly Remote) - Outside IR35 - Jan Start We're seeking a skilled AI/LLM Engineer to help deliver Retrieval Augmented Generation (RAG) solutions for a major client project in London. This is a hands-on contract role suited to someone with strong implementation ...

models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong ...

models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong ...

Bicep/Terraform is a plus). Agentic AI & LLMs: practical delivery of agents (eg, task planning, tool calling) and LLM apps (chat, summarisation, RAG, structured outputs). Engineering excellence: CI/CD, automated testing, code reviews, observability, and secure development practices. Nice to have Experience with Azure OpenAI ...

Strong expertise in: API integration & inter-service communication (REST, Kafka) Authentication/Authorization (OAuth2, JWT, Azure AD) NLP techniques (NER, classification, chunking, summarization, QA) RAG architectures and working with LLMs (OpenAI, Anthropic, etc.) Vector databases (FAISS, Azure AI Search ...

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 ...

Exceptional communication and stakeholder engagement skills. Preferred Skills Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA). Experience building RAG pipelines and agentic workflows for enterprise financial applications. Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools … containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace for production reliability. Ideal ...

Exceptional communication and stakeholder engagement skills. Preferred Skills Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA). Experience building RAG pipelines and agentic workflows for enterprise financial applications. Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools … containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace for production reliability. Ideal ...

site £550p/d - INSIDE IR35 Skills Required: Strong expertise in developing Gen AI solutions in Python Deep expertise in Prompt Engineering and RAG solutions Familiar with Azure Cloud services Azure AI Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited ...