Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote
Posted Today by 10x.Team
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The role of Machine Learning Operations Engineer - AI Trainer involves working as a freelance expert in machine learning and operations to enhance AI models. The position requires reviewing AI-generated content, assessing the accuracy of ML operations, and providing actionable feedback. This role is remote and offers flexible hours, allowing professionals to contribute to the development of advanced AI models. Candidates must be based in the EU or UK and have a strong background in MLOps.
Key Responsibilities:
- Review and enhance AI-generated content on machine learning operations, model deployment, and workflow optimization
- Assess the accuracy, technical relevance, and real-world viability of AI-driven ML operations scenarios and recommendations
- Develop example use cases, deployment strategies, and risk management exercises based on your ML industry experience
- Create multiple scenario variations reflecting perspectives of various ML operations roles, from engineers to stakeholders
- Identify gaps or flawed assumptions in AI outputs and provide clear, actionable feedback
Key Skills:
- Experienced MLOps engineer or manager with a strong background in deploying, optimizing, and overseeing machine learning systems
- Demonstrated expertise in implementing and reviewing ML operations strategies, workflow automation, and operational excellence in machine learning
- Highly organized and skilled at providing direct, constructive feedback
- Available 8–20 hours per week and reliable in communications
Salary (Rate): £160.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Updated: 19 May 2026 Freelance | 8–20 hrs/week | Remote (EU/UK) Job Title: Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote Job Description Freelance | 8–20 hrs/week | Remote (EU/UK) Are you a machine learning and operations expert interested in shaping the future of artificial intelligence? Do you want to use your expertise to help train smarter AI models—on your own terms and schedule? Join 10x Team as a Freelance Machine Learning Operations Engineer - AI Trainer and contribute to building next-generation AI in real-world operations and ML workflows.
About Us 10x Team connects freelance professionals with leading AI labs to develop advanced AI models. We are seeking experienced machine learning operations (MLOps) specialists based in the EU or UK to ensure AI-generated workflows, deployment processes, and decision-making are accurate, relevant, and grounded in industry best practices.
Key Responsibilities
- Review and enhance AI-generated content on machine learning operations, model deployment, and workflow optimization
- Assess the accuracy, technical relevance, and real-world viability of AI-driven ML operations scenarios and recommendations
- Develop example use cases, deployment strategies, and risk management exercises based on your ML industry experience
- Create multiple scenario variations reflecting perspectives of various ML operations roles, from engineers to stakeholders
- Identify gaps or flawed assumptions in AI outputs and provide clear, actionable feedback
Your role will directly influence how AI understands, reasons, and advises on effective, nuanced ML operations strategies.
About You Experienced MLOps engineer or manager with a strong background in deploying, optimizing, and overseeing machine learning systems Based in the EU or UK Demonstrated expertise in implementing and reviewing ML operations strategies, workflow automation, and operational excellence in machine learning Highly organized and skilled at providing direct, constructive feedback Available 8–20 hours per week and reliable in communications
Why Join 10x Team? Flexible, project-based freelance work—100% remote Use your machine learning operations expertise to help build better AI Make a direct impact by shaping the AI’s understanding of complex ML workflows and deployment challenges Free access to our AI Academy for professional upskilling Structured onboarding, clear project briefs, and ongoing collaborative opportunities
How To Apply After applying, you’ll receive an email with steps to: Complete a short written assessment Participate in an AI-powered interview Pass a compliance and credentials check Important: Your application is only complete once you finish all steps via the email link. Project assignments are matched based on your expertise, availability, and current AI Lab needs. Please note: These AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current needs. Some experts are matched within days, while others may wait longer for a suitable project. Help shape the next generation of AI-driven machine learning operations—apply today!