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Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of multiple opportunities, offering £600–£700/day. Located in Amsterdam or London, key skills required include Python, AWS, GCP, MLOps, and Terraform, with cross-cloud experience preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
700
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🗓️ - Date
March 3, 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
London Area, United Kingdom
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Automation #ML (Machine Learning) #AWS (Amazon Web Services) #Python #Terraform #Deployment #GitHub #Model Deployment #Monitoring #Cloud
Role description
Multiple Contract Opportunities : ML Platform & MLOps Engineers needed.
We’re hiring for a Machine Learning Platform Engineers to join a global enterprise team building a unified ML and data platform on top of EKS. This is a high impact role driving MLOps best practices across multiple pillars.
What you’ll work on:
✅ Internal ML platform built on EKS
✅ Standardised stack: EKS, CKD, GitHub Actions, CI/CD, Terraform
✅ Heavy Python layer for automation and ML workflows
✅ Operate across AWS & GCP (cross-cloud experience is a big plus)
✅ MLOps focus: model deployment, monitoring, and scaling
✅ Collaborate with ML teams to unify infrastructure and pipelines
Role Details:
📍 Location: Amsterdam or London
💰 Rate: £600–£700/day depending on location
Multiple Contract Opportunities : ML Platform & MLOps Engineers needed.
We’re hiring for a Machine Learning Platform Engineers to join a global enterprise team building a unified ML and data platform on top of EKS. This is a high impact role driving MLOps best practices across multiple pillars.
What you’ll work on:
✅ Internal ML platform built on EKS
✅ Standardised stack: EKS, CKD, GitHub Actions, CI/CD, Terraform
✅ Heavy Python layer for automation and ML workflows
✅ Operate across AWS & GCP (cross-cloud experience is a big plus)
✅ MLOps focus: model deployment, monitoring, and scaling
✅ Collaborate with ML teams to unify infrastructure and pipelines
Role Details:
📍 Location: Amsterdam or London
💰 Rate: £600–£700/day depending on location
