4 of 4 Prompt Engineering Jobs in Stockport

scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training … product features. SME Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams. MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills ...

practitioners who wish to learn the craft of Generative AI Design Requirements: Some experience in designing for Generative AI experiences Some experience with prompt engineering and context engineering Knowledge of the fundamentals of conversation, e.g., turn-taking, cognitive load, pragmatics Strong technical aptitude - comfortable learning new software ...

workshops with technical and business stakeholders Represent the organisation's technical capabilities in high-stakes client meetings Build trust and long-term relationships with engineering teams and decision-makers Solution Development & Architecture Build and iterate working AI prototypes quickly Architect scalable, maintainable systems from prototype to production Make sophisticated … 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level AI strategy ...

pipelines leveraging LLMs and RAG architectures. Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments. Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products. Ensure high performance, testability, and reliability across the stack. Key Qualifications … deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.). Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning. Experience with ML model serving, SDK development, and working in production-grade environments. Ability to work across the full stack ...