Описание
Wise is a global technology company building a way to move and manage money worldwide. It enables international transfers, spending abroad, and international payments for people and businesses.
Задачи
- Own the evolution of ML experimentation tooling and label quality, initially for Fincrime teams and later for other Servicing squads;
- Co‑own stakeholder management, roadmap, delivery, and onboarding;
- Conduct presentations, demos, and workshops;
- Maintain documentation and project progress updates;
- Drive impactful proof-of-concepts for methodologies and tooling that bridge gaps across multiple Servicing teams;
- Implement software engineering practices including testing, CI/CD, monitoring, alerting, and disaster recovery;
- Develop MLOps capabilities with Terraform and AWS infrastructure;
- Support ML governance for hundreds of models;
- Build data engineering solutions for distributed processing at terabyte scale;
- Prove the value of new methodologies and algorithms across cross-team domains;
- Estimate and measure impact;
- Mentor junior members in experiment design.
Требования
- Extensive experience with end-to-end distributed data systems, especially ML-centric systems;
- Previous experience as a Data Scientist in a large-scale product team or business;
- Excellent Python and Software Engineering knowledge;
- Ability to work with Java when needed;
- Demonstrable experience collaborating with engineers on services;
- Ability to solve problems for Data Scientists independently in cross-functional and cross-team environments;
- Good communication skills and ability to explain ideas to non-technical individuals using data and statistical analysis;
- Ability to engage and manage project stakeholders;
- Strong problem-solving skills;
- Ability to refine problem statements and propose solutions considering effort, impact, and scalability trade-offs;
- Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs, RAG, graph ML, probabilistic programming, A/B testing.
Условия
No conditions specified
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machine learning engineer in fintech in London employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
