8 of 8 Remote/Hybrid Retrieval-Augmented Generation Jobs in the North of England

break into AI properly, not just talk about it? I'm working with a team building real world AI applications using LLMs and RAG and they're open to junior to mid-level developers who've already started exploring this space (even through personal projects) click apply for full ...

developing technical talent. Advise on internal AI platform strategy and client positioning. Apply modern AI/ML approaches, including LLMs, agent architectures, and RAG techniques, in delivery and practice strategy. Collaborate with stakeholders to translate technical capabilities into practical business impact. What We're Looking For: Essential: Strong background ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. As a team: Our Advanced Technology Centre is a thriving technology and innovation hub from where we deliver high … streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend emerging ...

enterprise-grade AI capabilities. What Youll Be Doing Designing and building Copilot solutions, intelligent agents, and LLM workflows Developing scalable AI components including RAG pipelines, embeddings, and vector search Integrating AI solutions into enterprise systems, APIs, and cloud platforms Conducting rapid prototyping to validate use cases, UX, and model performance … Essential Skills for the AI product developer Proven experience building solutions using LLMs, AI APIs, and Copilot Studio or similar tools Strong understanding of RAG architectures, vector databases, and embeddings Experience with Azure AI and cloud-native development Solid knowledge of secure engineering practices including authentication, data protection, and auditability ...

internal operations and develop new intelligent products. Their AI capability is expanding quickly, creating strong opportunities for growth. The Role * Build AI solutions across RAG, agentic workflows, and LLM applications.* Develop automation tools, chatbots, and content generation systems.* Work with AWS, LangChain, and vector databases.* Contribute to both … internal and future client-facing products. Your Skills and Experience * Strong commercial experience with RAG, agents, and LLM tooling.* Confident with Python, AWS, and LangChain or similar frameworks.* Hands on with vector databases and retrieval pipelines.* Comfortable identifying problems and delivering end-to-end solutions ...

Location Manchester, UK (Hybrid - 3 days per week in office) About ServisBOT ServisBOT is building the next generation of AI-driven enterprise automation for regulated industries — a secure, compliant SaaS platform where AI and humans work together to deliver outcomes our clients can trust. We partner with global … implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions. Key Responsibilities Problem Definition & Discovery (Supported Ownership) Support discovery activities for product initiatives and customer ...

business. Key responsibilities include: • Designing and delivering an AI platform that supports large‐scale agentic automation and end‐to‐end claims journeys • Building robust RAG pipelines, LLM‐based systems, and deployment frameworks • Developing AI agents for claims handling, internal tooling, and customer‐facing chat solutions • Evolving an internal AI assistant … engineering or software engineering with a focus on LLMs and production AI systems • Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling • Hands‐on cloud engineering experience, ideally in GCP and its AI ecosystem • Strong Python engineering ability and experience building production‐grade services ...

break into AI properly, not just talk about it? I'm working with a team building real world AI applications using LLMs and RAG and they're open to junior to mid-level developers who've already started exploring this space (even through personal projects). What … doing: Building full stack apps (React/Next.js or Node/NestJS) Working with LLMs (OpenAI, Claude etc.) Developing RAG-based features (smart search, AI-driven tools) Integrating AI into real products used by customers What they're looking for: Solid JavaScript/TypeScript experience Some hands on work with ...