Machine Learning Engineer (Governance ML Platform)

Jobgether is seeking a skilled Machine Learning Engineer to join a fully remote team focused on building production-grade infrastructure for AI governance and trust. You will play a critical role in developing the foundation for next-generation AI agent capabilities, ensuring that machine learning models are deployed with high reliability, security, and operational control.

Key responsibilities

• Own the machine learning infrastructure, including model serving, evaluation, monitoring, red-teaming, and continuous improvement.
• Build and maintain low-latency model-serving systems and evaluation pipelines designed for production workloads.
• Translate research and experimental models into production systems using optimization techniques like quantization and distillation.
• Develop telemetry-to-training pipelines that turn production signals and audit data into actionable inputs for model improvement.
• Design and maintain red-team testing infrastructure, including attack orchestration, scorecards, and CI-based quality gates.

Requirements

• 4–7 years of professional experience in machine learning software engineering, with hands-on experience building LLM-based or agentic systems.
• Strong production experience with ML model serving, low-latency inference, and model distillation.
• Proven experience building evaluation pipelines, model registries, and adversarial testing frameworks.
• Strong SQL skills and solid working knowledge of PostgreSQL.
• Security-first mindset with experience operating systems in compliance-sensitive or security-conscious environments.

What we offer

• 100% remote work within the EMEA region in a remote-first environment.
• Hands-on ownership of production ML infrastructure spanning serving, evaluation, and security testing.
• Opportunity to work at the intersection of machine learning, AI agents, PostgreSQL, and enterprise technology.
• Access to health and wellness resources and additional region-specific benefits.