2 of 2 AI Transformation Jobs in Glamorgan

AI Implementation Manager Location: Bridgend Salary: £35000-£55000 About Us We are a collective of four UK-based manufacturing companies. United by a shared vision for innovation, we are launching a transformative programme to embed artificial intelligence, smart technologies, and automation across our operations, supply chain, planning, procurement, quality assurance, and administrative functions. Purpose of the Role This newly … established position will spearhead the deployment of AI-powered solutions across the group. The AI Implementation Manager will collaborate with senior leadership and departmental teams to modernize workflows, enhance operational intelligence, and integrate AI into everyday business practices. We're looking for a dynamic, forward-thinking professional who can bridge strategy and execution. You'll be responsible … for identifying high-value opportunities, designing and implementing AI tools, and driving measurable improvements across multiple manufacturing sites. This is a hands-on role for someone who thrives on solving complex problems and delivering tangible results. This position plays a pivotal role in our 3-year AI transformation roadmap, which aims to build foundational capabilities, deliver operational More ❯

VP of AI/ML and Data ?? UK - Cardiff, London or Remote (with occasional travel) ?? £100,000 - £200,000 total package What You'll Do: Define and lead the company-wide AI and data strategy , reporting directly to the CTO. Build and lead a new AI/ML function , while shaping the existing data team. Establish a … modern data platform using Fabric, Databricks or similar technologies to power predictive analytics and automation. Deliver the business's first AI-powered products and tools , such as intelligent search, document OCR and insight-driven reporting. Partner with product and engineering to turn customer requirements into scalable AI solutions. Champion an AI-first culture , embedding automation and data … driven decision-making across the organisation. What You'll Bring: Proven experience delivering AI/ML capabilities in production , ideally within a SaaS or enterprise setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and AI disciplines. Background in cloud-based data platforms - Microsoft Fabric, Databricks, Snowflake, AWS or More ❯