Lead ML Engineer / Scientist
$90,500–$127,000 year
HybridLondon, England, United Kingdom
Job Summary
Lead Machine Learning experiments, develop Wise's ML Label Platform, and drive high-priority projects from proof-of-concept to service for Fincrime, KYC, and Customer Support squads. Own the evolution of ML experimentation tooling and label quality while removing bottlenecks from Data Science workflows and providing necessary ML tooling. Conduct stakeholder management, roadmap planning, and onboarding alongside delivering presentations, demos, and workshops. Maintain documentation, progress updates, and good communication with non-technical individuals to engage project stakeholders. Prove value of new methodologies and algorithms applied to cross-team domains, estimate and measure impact, and mentor junior members in experiment design.
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
- 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
- Ability to back up communication with data (and statistical analysis)
- Ability to engage and manage project stakeholders
- Strong problem solving skills
- Ability to help refine problem statements
- Ability to propose solutions
- Ability to take effort-impact-scalability tradeoff into account
- 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
- 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
- Ability to back up communication with data (and statistical analysis)
- Ability to engage and manage project stakeholders
- Strong problem solving skills
- Ability to help refine problem statements
- Ability to propose solutions
- Ability to take effort-impact-scalability tradeoff into account
Desired Qualifications
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.