Machine Learning Ops Engineer (Data & Analytics)

Salt are recruiting for an immediate requirement with a local government client of ours who is looking for a Machine Learning Ops Engineer (Data & Analytics).

This will be an Inside IR35 contract for 12 months initially. It would be a mainly hybrid role with 2 days a week expected in office, based in South East London.

Experience:

* Study and transform data science prototypes, applying the appropriate machine learning algorithms and tools

* Implement and optimise machine learning algorithms using programming languages such as Python, and Scala.

* Utilise machine learning libraries and frameworks such as PyTorch, ONNX, and XGBoost.

* Implement machine learning models in production environments and oversee their performance using relevant metrics.

* Implement MLOps best practiceses to improve the development, deployment and monitoring of ML models

* Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.

* Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.

* ML Ops Engineer experience of at least 3 years on projects of a similar size, scale and nature to RUC Secondary ANPR.

* Experience in Python and Scala in relation to ML models.

* Experience designing and implementing cloud solutions and ability to build MlOps Pipelines on Azure Cloud.

* High-level expertise in the Python programming language including PySpark,

* Proficiency in utilising machine learning libraries and frameworks like PyTorch, ONNX, and XGBoost.

* Strong understanding of software testing and CI/CD principles and version control (Git, MLFlow) for automated deployment of machine learning systems

* Familiarity with our systems (Azure cloud platform covering Azure DevOps Pipelines, Azure Functions, AzureML, Azure Databricks, CosmosDB) is desirable