ML Engineer - Governance ML Platform

Our client is a global enterprise software provider, serving over 1,500 customers across financial services, government, media, and IT. They offer enterprise-grade PostgreSQL solutions, managed cloud services, and 24/7 support, enabling application modernization, database migration from legacy systems, and hybrid/multi-cloud deployments. Their platform unifies transactional, analytical, and AI workloads while ensuring security, compliance, and high availability, with built-in AI capabilities.

We are looking for an ML Engineer, who will own the ML infrastructure spanning serving, evaluation, red-teaming, and continuous improvement for governance models.

Requirements

• Production ML serving experience (low-latency inference, quantization/distillation)

• Eval pipeline and model registry experience

• Drift monitoring and shadow deployment experience

• SQL/Postgres fluency

• Security mindset; comfort operating in fully audited environments

• English level - Upper intermediate

Responsibilities

• Serving & eval: low-latency model serving, eval pipelines, model registry

• Research-to-production: get models to <50ms inference via quantization/distillation; drift monitoring; shadow deployment; telemetry-to-training-data pipelines

• Red-team harness: attack orchestration, scorecards, regression suites, CI gating for governance models

• Self-improvement loop: continuous retraining, dataset curation from the audit trail, gated auto-rollout

Will be a plus

• Red-team / adversarial testing harness experience (CI-gated regression suites)

• Experience building auto-retraining loops from production telemetry/audit data

Location

• Fully remote.
• Candidates must be based in Europe.
• Occasional travel may be required.
   

What We Offer

• Fully remote work.
• A professional, supportive, and friendly team.
• Long-term employment with competitive compensation based on experience.
• Continuous knowledge sharing with engaged co-workers.