6 of 6 Retrieval-Augmented Generation Jobs in Birmingham

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning ...

shape strategy and drive delivery within a large, complex organisation Knowledge of modern AI approaches, including areas such as Retrieval Augmented Generation (RAG), prompt engineering, observability and evaluation Experience in cyber security, fraud analytics, behavioural analytics or threat detection would be particularly valuable This ...

working closely with senior stakeholders. What you'll need: Experience delivering AI/Generative AI solutions in a commercial environment Strong knowledge of LLMs, RAG and modern AI architectures Python and cloud platform experience (Azure preferred) Experience integrating AI solutions into enterprise applications Ability to explain complex technical decisions ...

scalable, reliable data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape … modern machine learning frameworks such as PyTorch, TensorFlow or Keras. Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine‐tuning techniques. Experience designing and operating end‐to‐end MLOps workflows, including model training, deployment ...

Copilot deployments, including security, prompt design and adoption tracking Help design, prototype, and test AI solutions, including Large Language Model (LLM) integrations, retrieval-augmented generation, agentic workflows and structured-output patterns Build well-scoped components and ship them through GitHub and Azure DevOps pipelines ...

wealth management and financial services organisation is looking to appoint a Senior Azure AI Platform Engineer to help build and operationalise the next generation of AI-enabled services and platforms across the business. This is a hands-on engineering role focused on designing, building and supporting production-grade … operational ownership Desirable Experience MCP Servers Model Context Protocol Semantic Kernel Prompt Flow Agentic AI AI orchestration frameworks Copilot Studio Power Platform integrations RAG architectures AI governance and observability Technology Stack Azure AI Foundry | Azure OpenAI | C# | .NET | Azure Functions | Azure API Management | Azure Service Bus | Azure Logic Apps ...