Senior Machine Learning Engineer/ Scientist - Servicing Platform

Location: Global

Team: General

About the Role

Wise is a global technology company revolutionizing how the world moves and manages money with min fees, max ease, and full speed. We're seeking a Senior Machine Learning Engineer/Scientist to join our Servicing Machine Learning and Data Engineering Team in Tallinn or Budapest, scaling the impact of Data Science across Fincrime, KYC, and Customer Support squads. Your work will directly advance Wise’s mission, serving millions of customers by removing Data Science bottlenecks, building ML tooling for experiments, and developing our ML Label Platform. In this role, you'll own the evolution of ML experimentation tooling and label quality, starting with Fincrime teams and expanding across Servicing. You'll co-own stakeholder management, roadmaps, delivery, and onboarding while driving high-priority projects from proof-of-concept to MVP. Expect to lead presentations, demos, workshops, and maintain top-notch documentation. With freedom to explore innovative proof-of-concepts bridging multiple teams, you'll tackle software engineering, MLOps, data engineering at terabyte scale, and cutting-edge science to prove methodologies and mentor juniors. Join a diverse, inclusive team committed to building money without borders. Thrive in a flexible, global environment with strong problem-solving, communication, and cross-functional collaboration at its core.

Key Responsibilities

• Software engineering: testing + CI/CD, monitoring/alerting + disaster recovery
• MLOps: Terraform and AWS infra, ML governance for hundreds of models
• Data Engineering: distributed processing at terabyte scale
• Science: prove value of new methodologies / algorithms applied to cross-team domains, estimate and measure impact, mentor junior members in experiment design
• Own the evolution of ML experimentation tooling and label quality – at first for Fincrime teams, then for other squads in Servicing
• Co-own stakeholder management, roadmap, delivery and onboarding
• Conduct presentations, demos and workshops, in addition to maintaining good documentation and progress updates for your projects
• Drive impactful proof-of-concepts of new methodologies and tooling that bridge a gap for two or more teams in Servicing tribe

Required Qualifications

• Extensive experience with end-to-end distributed data systems, specially ML-centric ones
• Previous experience as Data Scientist in large scale product team / business
• Excellent Python and Software Engineering knowledge. Ability to work with Java if needed
• Demonstrable experience collaborating with engineers on services
• Strong drive to solve problems for Data Scientists, with the ability to work independently in a cross-functional and cross-team environment
• Good communication skills, ability to get the point across to non-technical individuals and back it up with data (and statistical analysis), to engage and manage project stakeholders
• Strong problem solving skills with the ability to help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account

Preferred Qualifications

• Apache Spark, Airflow, Iceberg, Kafka, dbt
• Scikit-Learn, XGBoost, MLFlow, Ray, PyTorch, Graph-tool (or similar)
• AWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CD
• Knowledge Graphs (+ RAG), graph ML, probabilistic programming, A/B testing

Required Skills

• Python
• Software Engineering
• Java
• Distributed data systems
• ML-centric systems
• MLOps
• Terraform
• AWS infrastructure
• Data Engineering
• Statistical analysis

Benefits

• RSUs (stock options)
• Flexible working
• Parental leave
• Learning budget
• Paid sabbatical after 4 years
• Health insurance
• Company retreat
• Wise card

Wise is an equal opportunity employer committed to building a diverse workforce.