4 of 4 Prompt Engineering Jobs in Lancashire

our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central , we … too!). It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data … can simplify processes, enhance experiences, or save time-and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services More ❯

information session on Tuesday 29thOctober at 15:00. Please email us and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens' lives. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

A hands-on, innovation-driven role focused on rapidly prototyping advanced AI systems using LLMs, autonomous agents, and semantic search. The engineer will work across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes More ❯

inversion to embed novel concepts. Enhance and scale our image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques. Design and implement advanced prompt engineering and conditioning strategies to ensure consistent, high-quality visual outputs. Evaluate and integrate open-source models such as Stable Diffusion, VideoCrafter, ModelScope, and Hunyuan. Build internal tools … e.g. Stable Diffusion, GANs, LoRA, DreamBooth, or video diffusion models). Proficient in Python, with practical experience using libraries such as PyTorch, Hugging Face Diffusers, Pillow, OpenCV Solid software engineering practices-modular code, testing, version control (e.g. Git), and collaborative development workflows. Experience working in cloud-based environments such as AWS or GCP for model training, experimentation, and data More ❯