Machine Learning Ops Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote

🔒 Confidential Employer
Posted 3 May 2026
LOCATION
Remote
TYPE
Contract
LEVEL
Mid-Senior level
CATEGORY
Software Engineering
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

MLOps Machine Learning Deployment Pipelines Monitoring Automation Compliance AI Evaluation Critical Feedback

FULL DESCRIPTION

Machine Learning Ops Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote

[Employer hidden — view at passion-project.co.uk] connects expert freelancers with leading AI labs. We are looking for a senior MLOps engineer based in the EU/UK for a freelance contract role, 8-20 hrs/week, fully remote, paying €102-€160 per hour.

About the Role

[Employer hidden] connects expert freelancers with leading AI labs building next-generation models. We are looking for knowledgeable MLOps engineers based in the EU or UK to enhance the accuracy, depth, and real-world relevance of AI-powered machine learning infrastructure.

What You Will Do

  • Review and refine AI-generated outputs related to machine learning operations, deployment pipelines, monitoring, and practical aspects of MLOps
  • Evaluate AI responses for technical accuracy, operational reliability, and compliance with real-world requirements
  • Draft realistic MLOps scenarios based on your direct professional experience
  • Create scenario variations from different perspectives (e.g. MLOps engineer, data scientist, developer, or product owner)
  • Identify gaps, oversights, or weak reasoning in AI-generated MLOps content

In simple terms: You will assess and improve AI-generated content, ensuring it reflects true MLOps reasoning, authentic documentation, and practical deployment procedures.

Who You Are

  • A senior-level MLOps engineer with significant professional experience within the EU or UK
  • Experienced in designing, building, and operating machine learning pipelines and infrastructure
  • Skilled at evaluating deployment strategies, automation, and compliance with operational standards
  • Comfortable working independently and providing structured, critical feedback
  • Available for 8–20 hours per week, with prompt availability

Why Join?

  • Flexible, fully remote freelance work that fits your current commitments
  • Apply your MLOps expertise in a rapidly evolving, high-impact AI environment
  • Directly contribute to building advanced AI-powered infrastructure and operational systems
  • Free access to our in-house AI Academy to further develop your AI skillset
  • Clear onboarding, structured tasks, and ongoing opportunities for collaboration

Compensation

€102 – €160 per hour

How to Apply

To complete your application, you’ll receive an email right after applying with a link to a short written evaluation, a brief AI-powered interview, and a quick compliance check. Important: Your application is only complete once you finish these steps via the link in the email.

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