ML Ops Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote
Posted 3 days ago by 10x.Team
Negotiable
Outside
Remote
London, England, United Kingdom
Summary: The role of MLOps Engineer involves assessing and improving AI-generated content related to machine learning operations, ensuring technical accuracy and operational reliability. The position is freelance, requiring 8 to 20 hours of work per week, and is fully remote for candidates based in the EU or UK. The engineer will leverage their expertise to enhance AI systems' understanding of MLOps at scale. This role offers flexibility and the opportunity to contribute to advanced AI-powered infrastructure.
Key Responsibilities:
- 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 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
Key Skills:
- Significant professional experience as a senior-level MLOps engineer
- Experience in designing, building, and operating machine learning pipelines and infrastructure
- Skilled at evaluating deployment strategies, automation, and compliance with operational standards
- Ability to work independently and provide structured, critical feedback
- Availability for 8–20 hours per week
Salary (Rate): £160.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Updated: 08 May 2026 Freelance | 8–20 hrs/week | Remote (EU/UK) Are you an experienced MLOps engineer who instinctively spots gaps in technical reasoning and understands the complex realities of machine learning operations? Do you have 8 to 20 hours per week available alongside your main job or consulting projects? Join us in shaping how AI understands and applies MLOps expertise at scale.
About The Role 10x.team 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. Rather than conducting traditional MLOps projects, you’ll apply your expertise to help AI systems understand and reason about MLOps at scale.
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
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 A quick compliance check (credentials & identity) Important: Your application is only complete once you finish these steps via the link in the email. After successful onboarding, you’ll be eligible to start on upcoming projects as they become available. Join us to help shape the MLOps expertise of the world’s most advanced AI models!