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AI/MLData Analytics On-site

Lead Machine Learning Engineer

Job Overview

You will work at the intersection of machine learning, data engineering and platform engineering, helping transform analytical innovation and large-scale data assets into reusable, governed and production-ready capabilities.

Key points

  1. We are looking for a Lead ML Engineer to provide technical leadership for the development and industrialisation of Scores & Attributes across multiple international…

  2. You will report to the Head of Analytics Product Development - EMEA and APAC.

  3. You will lead the technical journey from data exploration and attribute development through testing, governance, deployment and production execution.

  4. An important part of the role will design reusable architectures and integration patterns that allow these capabilities to grow across markets and existing technology…

  5. Software engineering fundamentals, including object-oriented programming, data structures, algorithms, design patterns, testing and maintainable software design.

  6. Hands-on experience with Python and its data/analytical ecosystem, such as Pandas and NumPy.

  7. Experience developing production-grade data or ML applications, rather than only analytical prototypes or notebooks.

  8. Experience designing APIs and services for exposing data or ML capabilities; experience with FastAPI or similar frameworks is desirable.

Skills

Manage technical and delivery risksMachine LearningAzureAWSSparkDatabricksPrototypingTroubleshooting

Experience: Senior-level · Job type: Full-time

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