Senior MLOps Engineer - Remote Position

About the Role

We are seeking a Senior MLOps Engineer to join our team remotely. As a Senior MLOps Engineer, you will play a pivotal role in enhancing AI systems' understanding and application of MLOps expertise. This position is ideal for those with 8 to 20 hours per week available alongside their main job or consulting projects.

What You'll Do

• Review and refine AI-generated outputs related to machine learning operations, deployment pipelines, and monitoring.
• 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, such as MLOps engineer, data scientist, developer, or product owner.
• Identify gaps, oversights, or weak reasoning in AI-generated MLOps content.

Requirements

• Significant professional experience as an MLOps engineer within the EU or UK.
• Expertise 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.

Nice to Have

• Experience with cloud platforms such as AWS or Azure.
• Familiarity with containerization technologies like Docker or Kubernetes.
• Knowledge of CI/CD practices in machine learning.

What We Offer

• Flexible, fully remote freelance work that fits your current commitments.
• Opportunity to apply your MLOps expertise in a rapidly evolving, high-impact AI environment.
• Direct contribution to building advanced AI-powered infrastructure and operational systems.
• Access to our in-house AI Academy for skill development.
• Clear onboarding, structured tasks, and ongoing collaboration opportunities.