Machine Learning Engineer; Governance ML Platform); Fully Remote

• You will build production-grade ML infrastructure for AI governance and trust, supporting next-generation AI agents.
• You will turn ML research into low-latency production systems with strong operational controls.

Key Accountabilities:

• Own ML infrastructure for governance models: serving, evaluation, monitoring, red-teaming.
• Build low-latency model-serving systems and evaluation pipelines for production.
• Develop telemetry-to-training pipelines and continuous self-improvement workflows.

Requirements:

• 4-7 years ML software engineering experience with LLM-based systems.
• Strong production experience with model serving, quantization, and distillation.
• Experience with red-team testing, drift monitoring, and shadow deployment.
• 100% remote work within EMEA region.
• Access to health and wellness resources.
• Wellness Fridays through December 2026.

The company builds AI governance and trust infrastructure, including production ML systems for AI agents. It offers a remote-first, international engineering organization with a focus on security and reliability.