10 of 10 Retrieval-Augmented Generation Jobs in Surrey

collaborate with data scientists, ML engineers, and analysts to design and implement solutions that extract insights from unstructured text. Projects may include topic modelling and entity recognition, text generation, ontology creation, and conversational AI. This role demands strong technical expertise in NLP and a passion for innovation and problem-solving. This is a hybrid role based in our … free to ask us about the access to work scheme. Desirable Skills Experience using Azure OpenAI and foundational LLMs for Retrieval-Augmented Generation (RAG), including open-source implementations. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning PEFT/LoRA, Context embedding, Vector database technologies, and Semantic Search techniques & tools. Familiarity with Azure More ❯

dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security and governance through robust access controls, including RBAC, SSO, token policies, and pseudonymisation frameworks. Develop resilient data flows for both batch and streaming More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus More ❯

driven by technological advancements and a visionary approach to future challenges in the AI space. Responsibilities: Build and refine AI/ML models, focusing on LLM-based solutions including RAG, fine-tuning, and prompt engineering. Design and implement AI-powered solutions, leveraging Python, SQL/NoSQL, and APIs for seamless integration. Prototype and rigorously test AI applications, focusing on improving More ❯

on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design and implement AI-powered applications, integrating with APIs, SQL/NoSQL databases, and Python-based solutions. Prototype and test AI applications, optimizing performance and More ❯

on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design and implement AI-powered applications, integrating with APIs, SQL/NoSQL databases, and Python-based solutions. Prototype and test AI applications, optimizing performance and More ❯

ll work with cross-functional teams to define strategy, build innovative solutions, and guide stakeholders on AI adoption. Key Responsibilities Build and refine LLM/SLM-based AI solutions (RAG, fine-tuning, prompt engineering). Design and oversee AI solution architecture (cloud & on-prem). Develop and deploy ML models into production. Identify AI opportunities aligned with business processes Prototype More ❯

ll work with cross-functional teams to define strategy, build innovative solutions, and guide stakeholders on AI adoption. Key Responsibilities Build and refine LLM/SLM-based AI solutions (RAG, fine-tuning, prompt engineering). Design and oversee AI solution architecture (cloud & on-prem). Develop and deploy ML models into production. Identify AI opportunities aligned with business processes Prototype More ❯

for AI engineering across the enterprise, ensuring alignment with organizational priorities and technology roadmaps. Architect for Scale : Drive architectural decisions for platforms and applications that leverage LLMs, retrieval-augmented generation, AI agents, and unstructured data processing at enterprise scale. Influence & Align : Partner with senior engineering leaders, product managers, business stakeholders, and governance teams to … Expertise in modern software architecture, distributed systems, and cloud infrastructure (AWS, Azure, or GCP). Deep hands-on experience integrating AI/ML systems into production environments, including LLMs, RAG, vector search, and AI agents. Strong ability to communicate technical strategy to executives, engineers, and business partners alike. Proven ability to set and enforce engineering standards for quality, security, and More ❯