Python Engineer with MLOps (Senior)

The ML Engineer / Forecasting & Commodities engagement covers key initiatives supporting critical decision-making processes through the application of Python, PySpark, Kubernetes, and Azure Cloud technology stacks. The scope involves operating within a highly mature technical ecosystem, delivering new features, and scaling solutions to encompass advanced use cases. Key project focus areas include designing and implementing a data science innovation framework while contributing to the organization’s overarching engineering best practices.

– Developing libraries, tools, and frameworks to standardise and accelerate the end-to-end development and deployment of machine learning models.
– Operating within an Azure cloud environment, including developing model training code in AzureML and building/maintaining cloud infrastructure via Infrastructure as Code (IaC).
– Utilizing distributed data processing tools such as Spark to parallelise machine learning computations across large-scale datasets.
– Diagnosing and resolving technical issues, ensuring the delivery of high-availability, reusable, and adaptable engineering solutions.
– Collaborating with cross-functional engineering and data science teams to deliver technical guidance and optimize core workflows.
– Fostering industry best practices in code quality, security, and scalability.
– Autonomous, data-driven technical decision-making aimed at driving business growth.

Python, PySpark, Airflow, Docker, Kubernetes, Azure (incl. Azure ML), pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git @ GitHub

– Building high-accuracy business forecasting systems by delivering reusable toolsets tailored for data scientists and analysts.
– Streamlining onboarding, deployment, and automated patching pipelines for new ML models.
– Partnering with cross-functional units to enhance end-customer experience through cutting-edge technology integration.
– Applying robust DevOps methodologies to establish reproducible patterns across multiple business domains.

3 engineers