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Machine Learning Engineer

Data Freelance Hub

Greater London

Hybrid

GBP 125,000 - 150,000

Full time

Today
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Job summary

A freelance tech company is seeking a Machine Learning Engineer to enhance their ML platform in London or Amsterdam. This role demands expertise in Python, MLOps, and cloud technologies such as AWS and GCP. Responsibilities include developing and maintaining a standardized ML stack, ensuring efficient model deployment and monitoring. Ideal candidates will bring a strong focus on MLOps practices. Offering competitive rates of £600–£700 per day depending on the location.

Qualifications

  • Experience with Python and deploying machine learning models.
  • Familiarity with MLOps best practices and tools.
  • Understanding of AWS and GCP for cloud application.

Responsibilities

  • Build and maintain an internal ML platform on EKS.
  • Automate ML workflows using a standardized stack.
  • Deploy models and ensure monitoring and scaling.

Skills

Python
MLOps
AWS
GCP
Terraform

Tools

EKS
GitHub Actions
CI/CD
Job description

This role is for a Machine Learning Engineer with a contract length of multiple opportunities, offering £600–£700/day. Key skills include Python, MLOps, AWS, GCP, and Terraform. Work location is on‑site in Amsterdam or London.

Multiple Contract Opportunities: ML Platform & MLOps Engineers needed. We’re hiring for a Machine Learning Platform Engineer 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.

Key Responsibilities
  • 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

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85 Great Portland Street, London, England, W1W 7LT

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