AI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Architect on a contract basis (Inside IR35) in Cambridge, UK, requiring 10+ years in data science and 3-5 years in enterprise AI design. Key skills include ML workflows, cloud platforms, and strong programming expertise.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 20, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Cambridge, England, United Kingdom
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🧠 - Skills detailed
#Security #Compliance #Python #Data Science #Data Engineering #API (Application Programming Interface) #Azure #GCP (Google Cloud Platform) #Java #ML (Machine Learning) #Databases #AWS (Amazon Web Services) #NLP (Natural Language Processing) #Cloud #Programming #AI (Artificial Intelligence) #DevOps
Role description
Role: AI Architect
Employment: Contract - Inside IR35
Location: Cambridge ,UK
Qualifications & Skills
• 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).
Role: AI Architect
Employment: Contract - Inside IR35
Location: Cambridge ,UK
Qualifications & Skills
• 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).
