At a Glance
- Tasks: Lead ML projects that directly impact Wise's mission and millions of customers.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Diverse and inclusive team culture that values your unique contributions.
- Why this job: Make a real difference in Fincrime, KYC, and Customer Support with cutting-edge ML.
- Qualifications: Extensive experience in ML systems and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Wise is a global technology company building the best way to move and manage the world's money. Min fees. Max ease. Full speed. We're looking for a Lead Machine Learning Engineer to join our growing Servicing Machine Learning and Data Engineering Team in London. This role is a unique opportunity to scale and advance the impact of Data Science in the Servicing tribe - namely Fincrime, KYC and Customer Support squads. What you build will have a direct impact on Wise's mission and millions of our customers.
Responsibilities
- Own the evolution of ML experimentation tooling and label quality, starting with Fincrime teams and expanding to other squads in Servicing.
- Co-own stakeholder management, roadmap, delivery and onboarding for these tooling initiatives.
- Conduct presentations, demos and workshops, and maintain good documentation and progress updates for your projects.
- Drive impactful proof of concepts of new methodologies and tooling that bridge gaps between two or more teams in the Servicing tribe.
- Software engineering: develop and maintain testing + CI/CD pipelines, monitoring/alerting and disaster recovery.
- MLOps: build and manage Terraform and AWS infrastructure, and establish ML governance for hundreds of models.
- Data Engineering: develop distributed processing solutions at terabyte scale.
- Data Science: prove the value of new methodologies/algorithms across cross team domains, estimate and measure impact, and mentor junior members in experiment design.
Qualifications
- Extensive experience with end to end distributed data systems, especially ML centric ones.
- Previous experience as a Data Scientist in a large scale product team or business.
- Excellent Python and software engineering knowledge; experience with Java is a plus.
- Strong drive to solve problems for Data Scientists, with the ability to work independently in a cross functional and cross team environment.
- Strong communication skills, able to explain concepts to non-technical stakeholders and back them up with data and statistical analysis.
- Ability to refine problem statements and propose solutions, balancing effort, impact, and scalability.
- Experience collaborating with engineers on services.
Desired Skills
- Apache Spark, Iceberg, Kafka, dbt
- Scikit Learn, XGBoost, PyTorch, MLflow, GraphFrames, Ray
- AWS (S3, EMR, SageMaker, Lake Formation), Terraform, Docker, GitHub CI/CD
- Knowledge graphs (RAG), graph ML, probabilistic programming, A/B testing
Diversity & Inclusion
We believe teams are strongest when they are diverse, equitable and inclusive. We celebrate our differences and strive to create an environment where every employee feels respected and empowered to contribute towards our mission and progress in their careers.
Lead ML Engineer / Scientist employer: Dangote Industries Limited
Wise is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and every team member's contributions are valued. Located in London, the company offers extensive opportunities for professional growth, particularly in the rapidly evolving field of machine learning, allowing employees to make a tangible impact on the financial landscape while enjoying competitive benefits and a collaborative environment.
Contact Details:
Dangote Industries Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer / Scientist
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We think you need these skills to ace Lead ML Engineer / Scientist
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