GIOS Technology
AI/ML Engineer (AWS Stack /AI Exposure / Data Science / DataOps)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of "unknown" and a pay rate of "unknown." It requires advanced AWS Data Stack skills, SQL, Python, and public sector experience, with occasional remote work in Swindon or London.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Athena #Data Lake #AI (Artificial Intelligence) #Cloud #ML (Machine Learning) #Data Science #AWS Glue #SQL (Structured Query Language) #Python #S3 (Amazon Simple Storage Service) #DataOps #API (Application Programming Interface) #Redshift #BI (Business Intelligence) #Infrastructure as Code (IaC) #AWS (Amazon Web Services) #Data Processing #Data Architecture #Lambda (AWS Lambda) #Terraform
Role description
We are hiring AWS Data & BI Engineer (AWS Stack /AI Exposure / Data Science / DataOps)
Location :Remote with 1/2 days (Occasional) per month in Swindon or London
• Hands-on experience in Data Engineering, Data Warehousing, and Business Intelligence (BI) roles, with a proven track record of delivering end-to-end data solutions.
• Advanced proficiency in the AWS Data Stack (Glue, S3, Lambda, Redshift, Athena) alongside expert-level SQL and Python for complex pipeline development and data processing.
• Practical, demonstrable experience with cloud-based AI services (such as AWS Bedrock), prompt engineering, generative AI workflows, or collaborating on Machine Learning pipelines.
• Designing, building, and optimizing modern data architectures and data lakes, while seamlessly balancing new capability development with BAU reporting and analytics support.
• Practical exposure to Infrastructure as Code (IaC) tools like Terraform, API integrations, and CI/CD pipelines to support a modern DataOps framework.
• Public Sector experience is highly desirable
Key Skills : AWS Data Ecosystem / AWS Glue / S3 / Redshift / Lambda / Athena / Python / Cloud AI Services / AWS Bedrock / LLMs / Data Science / DataOps
We are hiring AWS Data & BI Engineer (AWS Stack /AI Exposure / Data Science / DataOps)
Location :Remote with 1/2 days (Occasional) per month in Swindon or London
• Hands-on experience in Data Engineering, Data Warehousing, and Business Intelligence (BI) roles, with a proven track record of delivering end-to-end data solutions.
• Advanced proficiency in the AWS Data Stack (Glue, S3, Lambda, Redshift, Athena) alongside expert-level SQL and Python for complex pipeline development and data processing.
• Practical, demonstrable experience with cloud-based AI services (such as AWS Bedrock), prompt engineering, generative AI workflows, or collaborating on Machine Learning pipelines.
• Designing, building, and optimizing modern data architectures and data lakes, while seamlessly balancing new capability development with BAU reporting and analytics support.
• Practical exposure to Infrastructure as Code (IaC) tools like Terraform, API integrations, and CI/CD pipelines to support a modern DataOps framework.
• Public Sector experience is highly desirable
Key Skills : AWS Data Ecosystem / AWS Glue / S3 / Redshift / Lambda / Athena / Python / Cloud AI Services / AWS Bedrock / LLMs / Data Science / DataOps
