ML Systems Lead: Real-Time, Scalable Production ML

Worldpay (UK) Limited; United Kingdom; Vor Ort; GBP 120.000 - 180.000; Vollzeit

Zusammenfassung

Worldpay (UK) Limited seeks an experienced ML Software Engineering Lead to own the technical strategy for the Data Science Enablement engineering function, guiding production ML products and low-latency solutions. You will balance hands-on work with architectural leadership across product, data science, and platform teams.

You will establish engineering standards, drive operational excellence, and mentor engineers to advance ML software practices while aligning with regulatory and business needs.

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 7+ years of ML software engineering, ML ops, ML engineering, or ML research experience.
• 5+ years deploying large-scale, real-time ML models in production environments.
• 2+ years of technical leadership on an early-stage ML software engineering team.
• 2+ years of data science research experience.
• Proven experience developing microservices at scale (API design, monitoring, deployment strategies, containerization) in a cloud environment (AWS and Databricks).
• Strong Python skills, including Pandas, NumPy, scikit-learn.
• Proficiency in SQL and NoSQL databases.
• Excellent communication, leadership, and stakeholder management skills.
• Bonus if experience in merchant acquiring or payment service provider environments.
• Familiarity with tokenization, real-time payments, and authorization lifecycle.
• Experience in a large, complex organization in a highly regulated industry.
• Experience working in an agile environment.

Aufgaben

• Define the technical vision and strategy for ML software engineering initiatives.
• Develop scalable capabilities to power real-time decisioning engines throughout the payment lifecycle and beyond.
• Establish engineering standards, operating practices, and technical governance.
• Mentor engineers, provide technical coaching, and promote technical excellence.
• Champion collaboration, continuous improvement, and knowledge sharing.
• Drive alignment across teams through technical influence and architectural guidance.
• Guide the architecture, implementation, deployment, and operation of ML products and reusable components.
• Ensure systems meet scalability, latency, explainability, and regulatory requirements.
• Collaborate with research, product, data science, and platform teams to translate models into production solutions.

Kenntnisse

Python

ML/AI

Microservices

DevOps

MLOps

Real-time systems

Cloud (AWS)

API design

Pandas/NumPy

Communication

Ausbildung

Bachelor’s or Master’s in CS/Stats/Math/Engineering

Tools

Databricks

Kubernetes

Docker

Terraform

NoSQL databases

Jobbeschreibung

Worldpay (UK) Limited seeks an experienced ML Software Engineering Lead to own the technical strategy for the Data Science Enablement engineering function, guiding production ML products and low-latency solutions. You will balance hands-on work with architectural leadership across product, data science, and platform teams.

You will establish engineering standards, drive operational excellence, and mentor engineers to advance ML software practices while aligning with regulatory and business needs.