Head of ML & MLOps Engineering - Fintech Engineering (f/m/n)

Location: Remote, Poland

Company

Scale-up inside InPost building AI and ML capabilities for regulated fintech decisioning.

What you will do

• Build and lead the ML & MLOps function and hire the team from zero.
• Develop the ML platform for serving, monitoring, reproducibility, and retraining.
• Own credit and decisioning models with business cases, measurable monetary outcomes, validation, champion/challenger testing, and explainability.
• Architect agentic ML systems with orchestration, guardrails, evaluations, human-in-the-loop checkpoints, and observability.
• Define ownership between feature production and model consumption with Data Engineering and leadership.
• Manage compute budget, headcount, reliability, cost, latency, and return on investment.

Requirements

• Leadership experience building and leading ML teams in regulated settings, including building a team from zero.
• Hands-on understanding of models, pipelines, and serving layers.
• Experience across the full ML lifecycle: development, validation, deployment, monitoring, and retraining.
• Experience architecting agentic ML systems with orchestration, guardrails, evaluations in CI, human-in-the-loop checkpoints, and agent observability.
• Experience in credit-scoring or underwriting modelling, or comparable high-stakes ML.
• Skill in model-risk management and responsible-AI governance.
• Fluent English at B2+ level.

Nice to have

• CCD2 and consumer-credit regulation, DORA/ICT risk, IFRS 9 implications for model outputs, fraud-detection ML, or Databricks/Spark experience.

Culture & Benefits

• Seat on the core Data & AI leadership team with executive backing.
• Opportunity to build the ML estate without legacy systems.
• Lean, AI-native scale-up environment with models tied to real financial outcomes.
• Remote work arrangement in Poland.
• Contract engagement.