

Ubique Systems
GCP Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Architect with expertise in Vertex AI and ML/AI use case design. It offers a 1-year fixed-term contract in London (Hybrid) at a competitive pay rate. Key skills include GCP architecture, Python, Terraform, and ML frameworks.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Python #Deployment #GCP (Google Cloud Platform) #REST API #REST (Representational State Transfer) #VPC (Virtual Private Cloud) #Documentation #TensorFlow #IAM (Identity and Access Management) #Cloud #Terraform #AI (Artificial Intelligence) #Dataflow #ML (Machine Learning) #BigQuery #Automation #Monitoring #Data Science #Logging #PyTorch
Role description
Role: GCP Architect - Vertex AI + ML/AI Architect
Location: London (Hybrid)
Job Type: 1 Year Fixed Term Employment
Notice Period : Immediate or 1 Week
We are looking for a candidate who has below experience
• Verttex.AI Platform Design & Setup (not integration of use cases using vertex.AI)
• ML/AI usecase design & build
• MLOPS experience
Required Skills
• Strong understanding of Google Cloud Platform architecture: IAM, VPC, networking, compute, logging, monitoring.
• Hands-on experience with Vertex AI, including model training, deployment, tuning, and pipelines.
• Experience implementing GenAI/LLM-based solutions (Gemini, RAG, embeddings, vector stores).
• Knowledge of core machine learning concepts and ability to work with data scientists/ML engineers.
• Proficiency with Python, ML frameworks (TensorFlow/PyTorch), and REST APIs.
• Practical experience with Terraform, CI/CD, and automation on GCP.
• Good understanding of BigQuery, Dataflow/Beam basics, and data modelling.
• Ability to produce clean and clear architecture diagrams and documentation.
• Strong communication skills and ability to work with clients and internal teams.
Good-to-Have Skills
• Experience in telecom, Domain
• Experience building ML evaluation, monitoring, and drift detection frameworks.
• GCP certifications (Professional Cloud Architect / ML Engineer / Data Engineer).
Role: GCP Architect - Vertex AI + ML/AI Architect
Location: London (Hybrid)
Job Type: 1 Year Fixed Term Employment
Notice Period : Immediate or 1 Week
We are looking for a candidate who has below experience
• Verttex.AI Platform Design & Setup (not integration of use cases using vertex.AI)
• ML/AI usecase design & build
• MLOPS experience
Required Skills
• Strong understanding of Google Cloud Platform architecture: IAM, VPC, networking, compute, logging, monitoring.
• Hands-on experience with Vertex AI, including model training, deployment, tuning, and pipelines.
• Experience implementing GenAI/LLM-based solutions (Gemini, RAG, embeddings, vector stores).
• Knowledge of core machine learning concepts and ability to work with data scientists/ML engineers.
• Proficiency with Python, ML frameworks (TensorFlow/PyTorch), and REST APIs.
• Practical experience with Terraform, CI/CD, and automation on GCP.
• Good understanding of BigQuery, Dataflow/Beam basics, and data modelling.
• Ability to produce clean and clear architecture diagrams and documentation.
• Strong communication skills and ability to work with clients and internal teams.
Good-to-Have Skills
• Experience in telecom, Domain
• Experience building ML evaluation, monitoring, and drift detection frameworks.
• GCP certifications (Professional Cloud Architect / ML Engineer / Data Engineer).






