10 of 10 Prompt Engineering Jobs in West Yorkshire

support global expansion Summary: Reporting to the AI & Automation Manager, the AI Engineer is responsible for embedding artificial intelligence capabilities into Waystone’s engineering, automation, and assurance ecosystems. Acting as a bridge between cutting‐edge AI technologies and existing high‐code and low‐code platforms, the role focuses … building, ensuring intelligence is thoughtfully integrated into systems and workflows. The AI Engineer designs, develops, and assures AI-enabled solutions, improves automation efficiency, elevates engineering quality, and mentors teams on responsible and effective AI adoption. The mission is to drive innovation, productivity, and intelligent automation across Waystone while upholding ...

support global expansion SUMMARY Reporting to the AI and Automation Manager, the Lead Automation Engineer will be vital to the success of Waystone’s engineering, integration, automation and assurance capabilities. The role leads the design, delivery, governance and continuous improvement of automation across Waystone, where the process … increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents, LLM-powered applications, prompt engineering, evaluations and AI safety. ESSENTIAL DUTIES AND RESPONSIBILITIES Act as Waystone’s technical ...

Forward Deployed AI Engineer Permanent | Hybrid Leeds | AI Engineering + Forward-Deployed Engineering | Salary up to £100,000 The Opportunity A growing technology consultancy is building an AI-native engineering capability and is looking for a Deployed AI Engineer to help deliver real-world AI solutions … clients. The role combines AI Engineering, Software Engineering and Forward- Deployed Engineering, with ownership across discovery, architecture, build and production. Working in a small delivery pod, the engineer will build directly with client data and within their environments, taking ideas from prototype to MVP in weeks. Between ...

product road map on time and in line with sprint planning deadlines. Reports to Senior Lead Engineer with Line management responsibility Key Relationships Engineering Team Product Team Main Tasks General 1 Design, develop and deploy advanced machine learning and deep learning models and pipelines. 2 Collaborate with cross-functional … optimise deployment workflows on Vertex AI. 6 Lead the end-to-end development of LLM applications, utilising RAG (Retrieval-Augmented Generation), Agentic workflows and prompt engineering strategies. 7 Monitor, optimize, and fine-tune models in production environments. 8 Contribute to the architecture and design of the company ...

varying learner and employer requirements. AI Adoption & Workplace Application: Support employers to adopt and embed AI technologies within their organisations. Deliver practical training covering: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related technologies Promote responsible AI usage, including governance, ethics and data … Proactive, adaptable and solution-focused approach. Desirable Experience delivering AI or digital apprenticeship standards. Experience with Copilot Studio and Power Platform technologies. Knowledge of prompt engineering and AI adoption strategies. Understanding of automation tools and workflow design. Awareness of apprenticeship funding and compliance requirements. Teaching or training qualification ...

innovation with practical delivery, ensuring data and AI become genuine differentiators across products, services and internal operations. Work closely with the executive team, Product, Engineering, Architecture and Security, to drive the AI roadmap, priorities and delivery outcomes. Key Responsibilities: Define and deliver the Data & AI strategy, roadmap and technical … scale successful solutions into production. Own the data platform strategy, ensuring well-governed data underpins AI and analytics initiatives. Establish robust MLOps and engineering practices covering deployment, monitoring, experimentation and governance. Champion practical AI adoption across Product and Engineering to improve ways of working. Build, lead and develop ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions … delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions … delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with ...

wealth management technology. We are looking for a Senior Java Software Engineer who is serious about AI-assisted development, curious about how software engineering is changing, and ready to do real work on systems that matter. You will not be handed a ticket queue. You will be expected … full delivery lifecycle: design discussions, development, testing, deployment, and iteration Apply AI-Native Development Practices Use AI-assisted development tools, including code generation, prompt engineering, and agentic frameworks, as a standard part of your daily workflow from day one Learn and apply the team’s standards for building ...

delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with … LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into ...