Machine Learning Engineer (MLOps / AI Platform)

An excellent Machine Learning Engineer (MLOps / AI Platform) opportunity has just arisen within a cutting-edge AI environment.

Job Purpose:

• Build and scale machine learning systems from experimentation to reliable production deployment.

Job Responsibilities:

• Design and deploy machine learning solutions from data pipelines to production systems.
• Build scalable pipelines for training, testing, and serving AI models reliably.
• Work with data scientists to convert research code into production-ready applications.
• Manage model lifecycle including versioning, monitoring, performance tracking, and continuous improvements.
• Implement modern AI solutions including LLMs, agents, and retrieval-based systems.

Job Requirements:

• 7+ years' Python programming experience building scalable and maintainable applications.
• Experience deploying machine learning models into production environments using modern tools.
• Familiarity with cloud platforms, containers, and CI/CD pipelines for automation.
• Understanding of machine learning concepts, data processing, and model evaluation techniques.
• Experience or interest in LLMs, AI agents, or modern generative AI technologies.

The successful Machine Learning Engineer (MLOps / AI Platform) must possess strong Python skills, production ML experience, and interest in modern AI technologies such as LLMs and automation workflows.

Work on real-world AI systems including LLMs, automation workflows, and scalable ML platforms.

EA Reg. No. 25C2690 | EA license No. R1330510