Robson Bale

AI Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "AI Specialist" on a contract basis in "West Yorkshire" for "3 days onsite" at a "market rate." Key skills include AI/ML engineering, cloud experience, and data governance. Experience in regulated industries is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#Leadership #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Cloud #Scala #Security #Data Governance #AWS (Amazon Web Services) #Strategy #Databases #ML (Machine Learning) #Azure
Role description
AI Specialist - AI Foundry - Contract - West Yorkshire - Market Rate via Umbrella West Yorkshire (3 days onsite) | Market Rate | Enterprise AI Leadership We're building an AI Foundry to power the next generation of intelligent, secure, and scalable solutions across the business - and we're looking for a hands-on AI Specialist to lead the charge. This is a senior, high-impact role where you'll shape strategy, design advanced AI systems, and set the technical standards for how AI is built and governed enterprise-wide. If you enjoy solving complex problems, influencing senior leaders, and turning cutting-edge AI into real-world outcomes - you'll love this. What you'll be doing • Lead the design and governance of enterprise AI, LLM and agentic AI solutions • Shape AI strategy, standards, and architectural patterns • Build and evaluate RAG pipelines, copilots, and multi-agent workflows • Run POCs and experiments to test new AI capabilities • Define guardrails for security, ethics, and responsible AI • Review high-risk AI systems and provide technical assurance • Advise on model selection, prompting strategies, and data approaches • Mentor teams and raise AI capability across the organisation • Challenge vendors and solutions with evidence-based benchmarking What you'll bring • Strong experience in AI/ML engineering, LLMs, and applied AI systems • Hands-on experience with RAG, vector databases, embeddings, and orchestration • Knowledge of multi-agent or autonomous workflows • Cloud experience (Azure, AWS, or GCP) • Solid grounding in data governance, security, and responsible AI • Ability to explain complex AI concepts clearly to senior stakeholders • Experience setting standards and influencing technical direction Nice to have • Experience in regulated industries (eg financial services) • Exposure to enterprise governance or risk frameworks Why join? • Shape AI strategy at enterprise scale • Work on cutting-edge agentic and LLM solutions • High visibility with senior leadership • Freedom to innovate