Remote Sr. Engineer - ML Platform Job in UK CrowdStrike

Who you are

• B.S. in Computer Science Data Science Statistics Applied Mathematics or a related field and significant experience
• Experience developing and deploying machine learning solutions to production
• Familiarity with typical machine learning algorithms from an engineering perspective; familiarity with supervised / unsupervised approaches how why and when and labeled data is created and used
• Experience with MLOps tools like Jupyter Notebooks NVidia Workbench MLFlow Ray Vertex AI etc
• Experience building data platform products or features with tools like Apache Spark Flink in GCP Iceberg desirable
• Proficiency in distributed computing and orchestration technologies like Kubernetes Airflow etc
• Production experience with infrastructure-as-code tools such as Terraform FluxCD
• Expert level experience with Python ability to write Python interfaces for data scientists to utilize internal Crowdstrike tools
• Expert level experience with CI/CD frameworks such as GitHub Actions
• Expert level experience with containerization frameworks
• Strong analytical and problem solving skills in a dynamic environment
• Exceptional interpersonal and communication skills to work with stakeholders across teams and synthesize needs into software interfaces and processes

Desirables

• Go
• Iceberg
• Pinot
• Jenkins
• Parquet
• Protocol Buffers
• GRPC

What the job involves

• Help design build and facilitate adoption of a modern ML platform
• Modularize complex ML code into standardised and repeatable components
• Establish and facilitate adoption of repeatable patterns for model development deployment and monitoring
• Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines
• Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines
• Review code changes from data scientists and champion software development best practices
• Leverage cloud services like Kubernetes blob storage and queues in our cloud first environment