4 of 4 Permanent Prompt Engineering Jobs in Plymouth

expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands … prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering Lead, you will define and execute Akixi's AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product ...

Senior ML Engineer to join a forward-thinking team working on cutting-edge AI and machine learning solutions. This is a hands-on, engineering-heavy role focused on MLOps, LLMs, and NLP, perfect for someone who enjoys building scalable AI infrastructure rather than traditional research-focused machine learning. This … real-world AI solutions. The Role: Build and optimise scalable ML pipelines and AI infrastructure Work on LLM-focused projects – fine-tuning, retrieval systems, prompt engineering Develop and deploy ML models using AWS and Python Collaborate with product and engineering teams to integrate AI solutions Focus ...

Side projects involving AI, agents, or automation Experience with tools like n8n, Zapier, or Make Familiarity with AI APIs, vector databases, or agent frameworks Prompt engineering or system design experience Recruitment Process We want the process to be simple, flexible, and a chance for you to show your ...

lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical … including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern ...