

Skywaves Rise
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer on a contract basis, offering a competitive pay rate. Key skills include LLMs, Microsoft Azure AI, secure design practices, and DevOps. Experience in financial services and relevant qualifications are essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#Infrastructure as Code (IaC) #Monitoring #Observability #AI (Artificial Intelligence) #DevOps #Scala #Microsoft Azure #Azure #Documentation #Databases #Computer Science #Deployment #Cloud
Role description
Your Profile
Essential skills/knowledge/experience:
Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field
• Proven hands‑on experience building solutions using LLMs, AI APIs, Copilot Studio or agent frameworks.
• Strong understanding of vector databases, embeddings, RAG architectures and retrieval optimisation.
• Experience implementing secure‑by‑design practices including authentication, authorisation, data protection and auditability.
• Experience working within Microsoft Foundry‑style model and agent engineering, including LLM orchestration, RAG component optimisation, agent lifecycle management, versioning, monitoring, drift detection, and building reusable model/agent components governed under enterprise controls.
• Experience working with Microsoft Azure AI and cloud-native engineering, including integration with Azure AI services, secure deployment patterns, observability, telemetry, vector search and embeddings, and alignment with enterprise-grade cloud architectures used across the AI Foundry.
• Familiarity with DevOps, CI/CD, IaC, observability, monitoring and modern engineering pipelines.
• Ability to translate complex requirements or user needs into scalable, maintainable technical solutions.
• Ability to debug unexpected AI or model behaviour, including hallucinations, variability and reliability issues.
• Strong documentation skills and ability to produce reusable code assets, templates and guidance.
• Collaborative working style with analysts, testers and architects throughout delivery.
• Comfortable learning and adapting to emerging AI technologies and engineering patterns.
• Excellent stakeholder management and communication skills, including senior‑level engagement.
• Commercial awareness and a value‑driven mindset.
• Familiarity with AI ethics, fairness, transparency and accountability principles
• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise
Desirable skills/knowledge/experience:
• Understanding of financial services industry, markets and competitors
• Understanding of how financial services organisations operate and the associated regulatory environment, or other regulated industries
• Awareness of the Mutual Sector and the needs and interests of Members
Your Profile
Essential skills/knowledge/experience:
Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field
• Proven hands‑on experience building solutions using LLMs, AI APIs, Copilot Studio or agent frameworks.
• Strong understanding of vector databases, embeddings, RAG architectures and retrieval optimisation.
• Experience implementing secure‑by‑design practices including authentication, authorisation, data protection and auditability.
• Experience working within Microsoft Foundry‑style model and agent engineering, including LLM orchestration, RAG component optimisation, agent lifecycle management, versioning, monitoring, drift detection, and building reusable model/agent components governed under enterprise controls.
• Experience working with Microsoft Azure AI and cloud-native engineering, including integration with Azure AI services, secure deployment patterns, observability, telemetry, vector search and embeddings, and alignment with enterprise-grade cloud architectures used across the AI Foundry.
• Familiarity with DevOps, CI/CD, IaC, observability, monitoring and modern engineering pipelines.
• Ability to translate complex requirements or user needs into scalable, maintainable technical solutions.
• Ability to debug unexpected AI or model behaviour, including hallucinations, variability and reliability issues.
• Strong documentation skills and ability to produce reusable code assets, templates and guidance.
• Collaborative working style with analysts, testers and architects throughout delivery.
• Comfortable learning and adapting to emerging AI technologies and engineering patterns.
• Excellent stakeholder management and communication skills, including senior‑level engagement.
• Commercial awareness and a value‑driven mindset.
• Familiarity with AI ethics, fairness, transparency and accountability principles
• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise
Desirable skills/knowledge/experience:
• Understanding of financial services industry, markets and competitors
• Understanding of how financial services organisations operate and the associated regulatory environment, or other regulated industries
• Awareness of the Mutual Sector and the needs and interests of Members






