At a Glance
- Tasks: Shape the future of AI by training smarter models and optimising ML workflows.
- Company: Join 10x Team, connecting freelancers with leading AI labs.
- Benefits: Flexible freelance work, remote opportunities, and free access to AI Academy.
- Other info: Dynamic project assignments based on your expertise and availability.
- Why this job: Make a direct impact on AI's understanding of complex ML operations.
- Qualifications: Experienced MLOps engineer with strong feedback and communication skills.
The predicted salary is between 30 - 40 € per hour.
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!
Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week in London employer: 10x.Team
At 10x Team, we pride ourselves on being an exceptional employer that offers flexible, project-based freelance opportunities tailored to your schedule. Our remote work culture fosters collaboration and innovation, allowing you to make a meaningful impact in the AI field while enjoying access to our AI Academy for continuous professional development. Join us to leverage your expertise in machine learning operations and contribute to shaping the future of AI in a supportive and dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week in London
✨Tip Number 1
Network like a pro! Reach out to fellow MLOps engineers and AI enthusiasts on LinkedIn or relevant forums. Share your expertise, ask questions, and don’t be shy about letting people know you’re looking for freelance opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your past projects and successes in machine learning operations. This will give potential clients a clear idea of what you can bring to the table.
✨Tip Number 3
Stay active in the community! Join online groups or attend webinars related to MLOps. Engaging with others in the field can lead to job leads and collaborations that might not be advertised.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a range of exciting projects waiting for talented individuals like you. Make sure to follow the application steps carefully to increase your chances of landing that perfect freelance gig.
We think you need these skills to ace Machine Learning Operations Engineer - AI Trainer - Freelance - 8-20hrs/week in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your experience in machine learning operations. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Be Clear and Concise:When filling out your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your expertise and how you can contribute to our team.
Show Your Passion for AI:Let us know why you’re excited about working in AI and MLOps! Share your thoughts on the future of machine learning and how you see yourself making an impact. We love seeing genuine enthusiasm!
Follow Up After Applying:Once you’ve submitted your application through our website, don’t hesitate to follow up! A quick message can show your eagerness and help keep your application top of mind for us.
How to prepare for a job interview at 10x.Team
✨Know Your Stuff
Make sure you brush up on your machine learning operations knowledge. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Prepare Real-World Scenarios
Think of a few real-world scenarios where you've had to optimise ML workflows or deploy models. Be prepared to explain your thought process and the outcomes. This will help demonstrate your ability to apply your skills in practical situations, which is key for this role.
✨Feedback is Key
Since the role involves providing constructive feedback on AI outputs, be ready to discuss how you approach giving feedback. Share examples of how your feedback has led to improvements in past projects. This shows you can communicate effectively and contribute to team success.
✨Show Your Flexibility
As this is a freelance position, highlight your ability to manage your time effectively and adapt to changing project demands. Discuss how you’ve successfully juggled multiple projects in the past while maintaining high-quality work. This will reassure them that you can handle the freelance nature of the job.
