AI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Architect with a contract length of "unknown," offering a pay rate of "$X per hour." Requires 10+ years in data science/AI, expertise in ML workflows and GenAI, cloud experience, and preferred AI/ML certifications.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
-
🗓️ - Date discovered
September 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Greater Cambridge Area
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🧠 - Skills detailed
#Programming #Python #Security #Compliance #Data Science #Databases #DevOps #Azure #Java #NLP (Natural Language Processing) #API (Application Programming Interface) #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #ML (Machine Learning) #Cloud #AI (Artificial Intelligence) #Data Engineering
Role description
• 10+ years of experience in data science, machine learning, or AI architecture roles, with at least 3–5 years in enterprise AI solution design.
• Proven expertise in both ML workflows and GenAI/LLM architectures, including hands-on experience with RAG pipelines, NLP frameworks, and vector databases.
• Strong knowledge of AI security risks, compliance frameworks, and building auditable solutions.
• Experience with cloud platforms (Azure, AWS, GCP), API-driven architectures, and data engineering workflows.
• Strong programming background in Python, Java, or similar, with knowledge of MLOps/DevOps practices.
• Exceptional communication, stakeholder management, and solution translation skills.
• Preferred certifications in AI/ML, Cloud Architecture, or Security (e.g., Azure AI Engineer, AWS ML Specialty, CISSP-ISSAP).
• 10+ years of experience in data science, machine learning, or AI architecture roles, with at least 3–5 years in enterprise AI solution design.
• Proven expertise in both ML workflows and GenAI/LLM architectures, including hands-on experience with RAG pipelines, NLP frameworks, and vector databases.
• Strong knowledge of AI security risks, compliance frameworks, and building auditable solutions.
• Experience with cloud platforms (Azure, AWS, GCP), API-driven architectures, and data engineering workflows.
• Strong programming background in Python, Java, or similar, with knowledge of MLOps/DevOps practices.
• Exceptional communication, stakeholder management, and solution translation skills.
• Preferred certifications in AI/ML, Cloud Architecture, or Security (e.g., Azure AI Engineer, AWS ML Specialty, CISSP-ISSAP).
