26 to 31 of 31 Retrieval-Augmented Generation Jobs in the South East

structure with the central AI team, MarTech, Data, and Compliance. THE ROLE: AI roadmap for marketing communications and engagement. Own key products: conversational assistants, content generation, and RAG search. Take each product from discovery to launch and scale. Build “governance-lite” controls: usage logging, prompt review, risk tiers, data rules. Align with enterprise AI policy, privacy, and regulatory … to ship MVPs fast. THE CANDIDATE'S EXPERIENCE: End-to-end ownership of an AI platform or capability used by ~1,000+ users. Strong knowledge of LLMs, conversational design, RAG, and prompt practices. Proven change leadership: you have driven ≥50% adoption with training and comms. Governance mindset: you have designed guardrails that pass risk and legal review. Working grasp of More ❯

structure with the central AI team, MarTech, Data, and Compliance. THE ROLE: AI roadmap for marketing communications and engagement. Own key products: conversational assistants, content generation, and RAG search. Take each product from discovery to launch and scale. Build “governance-lite” controls: usage logging, prompt review, risk tiers, data rules. Align with enterprise AI policy, privacy, and regulatory … to ship MVPs fast. THE CANDIDATE'S EXPERIENCE: End-to-end ownership of an AI platform or capability used by ~1,000+ users. Strong knowledge of LLMs, conversational design, RAG, and prompt practices. Proven change leadership: you have driven ≥50% adoption with training and comms. Governance mindset: you have designed guardrails that pass risk and legal review. Working grasp of More ❯

Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment with advanced use cases. …/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding More ❯

Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment with advanced use cases. …/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding More ❯

Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment with advanced use cases. …/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding More ❯

high-performance services using Golang in secure environments Develop ingestion and processing pipelines for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to … orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs, or LLM deployment Bonus: Prior experience within Defence, aerospace, or highly regulated industries Why It Stands Out: This isnt a generic software build. Youll help More ❯