Lead ML Engineer / Scientist

We’re looking for a **Senior Machine Learning Engineer** to join our growing Servicing Machine Learning and Data Engineering Team in Tallinn or Budapest.

This role is a unique opportunity to scale and advance the impact of Data Science in Servicing tribe – namely Fincrime, KYC and Customer Support squads. What you build will have a direct impact on [Wise’s mission](https://www.transferwise.jobs/what-we-do/) and millions of our customers.

Our team is responsible for 1) removing bottlenecks from Data Science workflows, 2) providing ML tooling for experiments, 3) developing Wise’s ML Label Platform. Moreover, we are responsible for driving high priority projects from proof-of-concept to MVP, to service / tooling.

**We are looking for someone to own the evolution of ML experimentation tooling and label quality** – at first for Fincrime teams, then for other squads in Servicing. You will co-own stakeholder management, roadmap, delivery and onboarding. You’re also expected to conduct presentations, demos and workshops, in addition to maintaining good documentation and progress updates for your projects. Additionally, you will have the freedom to **drive impactful proof-of-concepts of new methodologies and tooling that bridge** a gap for two or more teams in Servicing tribe.

**Here’s how you’ll be contributing:**

• Software engineering: e.g. 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

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.

Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/).

Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).