1 to 25 of 45 Retrieval-Augmented Generation Jobs in the North of England

lead with empathy and clarity in complex client environments Desirable: Experience integrating Generative AI, retrieval-augmented generation (RAG), or similar architectures into production systems. Strong background in consultancy, digital transformation, or multi-industry project delivery. Contributions to open-source projects or AI engineering communities. ...

lead with empathy and clarity in complex client environments Desirable: Experience integrating Generative AI, retrieval-augmented generation (RAG), or similar architectures into production systems. Strong background in consultancy, digital transformation, or multi-industry project delivery. Contributions to open-source projects or AI engineering communities. ...

lead with empathy and clarity in complex client environments Desirable: Experience integrating Generative AI, retrieval-augmented generation (RAG), or similar architectures into production systems. Strong background in consultancy, digital transformation, or multi-industry project delivery. Contributions to open-source projects or AI engineering communities. ...

lead with empathy and clarity in complex client environments Desirable: Experience integrating Generative AI, retrieval-augmented generation (RAG), or similar architectures into production systems. Strong background in consultancy, digital transformation, or multi-industry project delivery. Contributions to open-source projects or AI engineering communities. ...

implement LLM-powered features using both SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement … software engineer, including senior-level ownership and decision-making Strong experience building AI-driven systems, with particular depth in LLMs and applied ML (e.g. RAG, prompt engineering, model evaluation) Excellent Python skills and experience delivering production backend systems Strong problem-solving, communication, and collaboration skills A mindset oriented towards ownership ...

implement LLM-powered features using both SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement … software engineer, including senior-level ownership and decision-making Strong experience building AI-driven systems, with particular depth in LLMs and applied ML (e.g. RAG, prompt engineering, model evaluation) Excellent Python skills and experience delivering production backend systems Strong problem-solving, communication, and collaboration skills A mindset oriented towards ownership ...

implement LLM-powered features using both SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement … software engineer, including senior-level ownership and decision-making Strong experience building AI-driven systems, with particular depth in LLMs and applied ML (e.g. RAG, prompt engineering, model evaluation) Excellent Python skills and experience delivering production backend systems Strong problem-solving, communication, and collaboration skills A mindset oriented towards ownership ...

implement LLM-powered features using both SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement … software engineer, including senior-level ownership and decision-making Strong experience building AI-driven systems, with particular depth in LLMs and applied ML (e.g. RAG, prompt engineering, model evaluation) Excellent Python skills and experience delivering production backend systems Strong problem-solving, communication, and collaboration skills A mindset oriented towards ownership ...

data modelling, governance, security and responsible AI Excellent problem-solving and communication skills in fast-paced environments Nice to have: Experience with GenAI, LLMs, RAG, AutoML and MLOps/CI-CD Streaming/real-time data experience Commercial experience in e-commerce, travel or holiday lettings Experience mentoring or leading ...

data modelling, governance, security and responsible AI ✔️ Excellent problem-solving and communication skills in fast-paced environments Nice to have: ➕ Experience with GenAI, LLMs, RAG, AutoML and MLOps/CI-CD ➕ Streaming/real-time data experience ➕ Commercial experience in e-commerce, travel or holiday lettings ➕ Experience mentoring or leading ...

development methodologies such as SCRUM, contributing to a flexible and responsive development environment. Familiarity with Recent Innovations: Knowledge of recent innovations such as GenAI, RAG, and Microsoft Copilot, as well as certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data ...

development methodologies such as SCRUM, contributing to a flexible and responsive development environment. Familiarity with Recent Innovations: Knowledge of recent innovations such as GenAI, RAG, and Microsoft Copilot, as well as certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data ...

development methodologies such as SCRUM, contributing to a flexible and responsive development environment. Familiarity with Recent Innovations: Knowledge of recent innovations such as GenAI, RAG, and Microsoft Copilot, as well as certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data ...

development methodologies such as SCRUM, contributing to a flexible and responsive development environment. Familiarity with Recent Innovations: Knowledge of recent innovations such as GenAI, RAG, and Microsoft Copilot, as well as certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data ...

Engineer – Key Responsibilities Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic Building RAG (Retrieval-Augmented Generation) prototypes using vector stores and knowledge graphs Developing and testing agentic architectures enabling AI agents that reason, retrieve … least one language suited to AI systems and data workflows Experienced integrating models with APIs, data sources or production systems Curious about LLMs, RAG pipelines (vector and graph-based), and agent frameworks Familiar with cloud-native platforms (AWS/Azure/GCP) and DevOps/DevSecOps practices Collaborative, curious ...

Engineer – Key Responsibilities Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic Building RAG (Retrieval-Augmented Generation) prototypes using vector stores and knowledge graphs Developing and testing agentic architectures enabling AI agents that reason, retrieve … least one language suited to AI systems and data workflows Experienced integrating models with APIs, data sources or production systems Curious about LLMs, RAG pipelines (vector and graph-based), and agent frameworks Familiar with cloud-native platforms (AWS/Azure/GCP) and DevOps/DevSecOps practices Collaborative, curious ...

Engineer – Key Responsibilities Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic Building RAG (Retrieval-Augmented Generation) prototypes using vector stores and knowledge graphs Developing and testing agentic architectures enabling AI agents that reason, retrieve … least one language suited to AI systems and data workflows Experienced integrating models with APIs, data sources or production systems Curious about LLMs, RAG pipelines (vector and graph-based), and agent frameworks Familiar with cloud-native platforms (AWS/Azure/GCP) and DevOps/DevSecOps practices Collaborative, curious ...

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 ...

where users can query information directly through an integrated AI assistant. The Challenges You'll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

where users can query information directly through an integrated AI assistant. The Challenges You'll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

where users can query information directly through an integrated AI assistant. The Challenges You'll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

where users can query information directly through an integrated AI assistant. The Challenges You'll Work On Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data Designing your own benchmarks from scratch Building an agentic retrieval pipeline that adapts ...

more major Integration Platform such as TIBCO, MuleSoft, Dell Boomi, Azure Integration Services etc. Experience in designing data retrieval pipelines (RAG), implementing autonomous LLM orchestration frameworks, and Model Evaluation Services (MES) frameworks. Experience in Prompt Management - Strategic approach to prompt versioning, testing, and lifecycle management within production environment. ...

more major Integration Platform such as TIBCO, MuleSoft, Dell Boomi, Azure Integration Services etc. Experience in designing data retrieval pipelines (RAG), implementing autonomous LLM orchestration frameworks, and Model Evaluation Services (MES) frameworks. Experience in Prompt Management - Strategic approach to prompt versioning, testing, and lifecycle management within production environment. ...

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 ...