What You’ll Do

• Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Beam, Dataflow, and Flink, to run inference on ML models on the Google Cloud Platform
• Work closely with Machine learning engineers to design, develop, and deploy services in Java that serve ML models with a focus on high availability, robustness, and monitoring
• Use best practices in continuous integration and delivery
• Help drive optimization, testing, and tooling to improve data and systems quality
• Work in multi-functional agile teams to continuously experiment, iterate, and deliver on new product objectives
• Take operational responsibility for the services that are owned by your team
• Work in an environment that supports your individual growth by providing you ambitious tasks to tackle and the time needed to acquire new skills

Who You Are

• Have 3+ years of professional experience working in a product facing environment
• Worked with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra
• Experience deploying and supporting Machine Learning systems in production at scale
• Experienced in writing distributed, high-volume services in Java or Scala
• Have an understanding of system design, data structures, and algorithms
• Knowledgeable about data modeling, data access, and data storage techniques
• Deployed and operated services in a cloud environment such as GCP or AWS
• Enjoy close collaboration with Machine Learning engineers and passionate about the software ML systems architecture across the stack
• Care about agile software processes, data-driven development, reliability, and responsible experimentation

Where You’ll Be

• This role will ideally be located in the UK or potentially one of our other EMEA locations *excluding the Netherlands, Germany and France for now due to on call restrictions