Pyramid Consulting, Inc
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Glasgow, UK, with a 5-year minimum experience in ML engineering, hands-on skills in agent-based workflows, MLOps, and cloud platforms. Key skills include AWS, GCP, Azure, GitHub, and agile methodologies.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Agile #AWS SageMaker #GitHub #Azure #Data Science #AWS (Amazon Web Services) #SageMaker #Data Engineering #Cloud #ML (Machine Learning)
Role description
Role- Data scientist
Location- Glasgow, UK
Job Opportunity:
• Minimum 5 years as an individual contributor in ML engineering
• Proven experience working with teams of ML engineers or scientists
• Hands-on experience with agent-based workflows, MCP, RAG and context engineering.
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, and Graph-of-Thoughts prompting strategies
• Experience with MLOps practices and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure)
• Ability to write clear and concise OKRs and align with business expectations
• Experience with GitHub
• Solid understanding of software development life cycle, agile methodologies, and data engineering
Role- Data scientist
Location- Glasgow, UK
Job Opportunity:
• Minimum 5 years as an individual contributor in ML engineering
• Proven experience working with teams of ML engineers or scientists
• Hands-on experience with agent-based workflows, MCP, RAG and context engineering.
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, and Graph-of-Thoughts prompting strategies
• Experience with MLOps practices and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure)
• Ability to write clear and concise OKRs and align with business expectations
• Experience with GitHub
• Solid understanding of software development life cycle, agile methodologies, and data engineering
