Senior Data Science Specialist

4 weeks ago


London, Greater London, United Kingdom Salt Digital Recruitment Full time

Salt Digital Recruitment is seeking a highly skilled Machine Learning Ops Engineer to join their client, a local government organization, in South East London.

This 12-month contract will involve working on the Automatic Number Plate Recognition (ANPR) system, focusing on enhancements and optimizations to refine the secondary system.

Key responsibilities include:

  1. Delivering improvements to the ANPR system using expertise in Python and Scala, as well as proficiency in machine learning libraries such as PyTorch, ONNX, and XGBoost.
  2. Deploying ML models in production and optimizing their performance, adhering to MLOps best practices including model development, deployment, and monitoring.
  3. Designing and building MLOps pipelines on Azure Cloud utilizing Azure DevOps, Functions, ML, Databricks, and CosmosDB.
  4. Familiarity with CI/CD principles, version control using Git and MLFlow, and automated testing.

A strong background in ANPR systems and experience deploying ML models in production are essential for this role. The ideal candidate will possess knowledge of MLOps best practices and be proficient in building scalable data pipelines.

The successful candidate can expect a competitive salary of around £62 per hour, reflecting the high demand for skilled professionals in this field.

This is an excellent opportunity for experienced Machine Learning Ops Engineers to contribute to a significant project, enhancing their skills and career prospects in the process.



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