Senior AI/ML Engineer – Applied AI Lead

Overview

A fast-growing global online-trading group is hiring a Senior AI/ML Engineer to lead applied AI – taking models from development into production, building robust MLOps and delivering use cases such as client lifetime value, churn prediction and fraud/abuse detection.

Responsibilities

• Design, build and productionise ML models across training, validation, deployment, monitoring and retraining
• Lead use cases including CLV, churn prediction and fraud/abuse detection
• Build MLOps: deployment pipelines, CI/CD, environment promotion and lifecycle management
• Monitor performance, drift, data quality and business impact; define retraining strategies
• Implement explainability (SHAP, feature attribution) and model governance
• Partner with Data Engineering on pipelines and features, and with Product, Risk and Commercial on business problems
• Mentor the team on production AI best practice

Requirements

• 5–8+ years building and deploying ML models in production
• Strong Python and software engineering fundamentals
• Strong ML, evaluation and feature engineering knowledge; understanding of leakage, drift, stability
• Hands-on Spark/PySpark and large-scale data
• MLflow or similar; CI/CD (ideally GitHub Actions)
• Strong SQL
• Track record of measurable business impact and clear stakeholder communication

What's offered

• Up to EUR 90,000/year
• Training & development programme
• Team and group events, birthday and loyalty benefits

Position details

• Salary: Up to EUR 90,000 per year
• Location: Tallinn (Estonia), Limassol (Cyprus) or Warsaw (Poland)
• Work mode: Onsite in Tallinn/Limassol; Hybrid in Warsaw
• Job Type: Full time – Permanent
• Experience: 5–8+ years production ML
• Skills: Python, MLOps, MLflow, PySpark, SQL, Churn/CLV/Fraud Models, SHAP
• Industry: Forex/FX