Signify is hiring a
Machine Learning Platform Architect in United Kingdom

Summary

The job description is for an ML Platform Architect role in a dynamic and growing data platform team. The candidate will modernize the company's Machine Learning (ML) Platform, create a technology roadmap, collaborate with various teams to develop big data processing solutions, and have over 10 years of experience in data engineering.

Requirements

• Ideally has over 10 years of experience in data engineering, including at least 5 years of experience as a data or machine learning architect or lead
• Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience
• Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL
• Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka

Responsibilities

• Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence
• Create and deliver a technology roadmap focused on advancing our data processing capabilities
• Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention
• Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product
• Architect, deploy, and optimize Databricks solutions on AWS, developing scalable data processing solutions to streamline data operations and enhance data solution deployments
• Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue)

Benefits

• Stock Options
• Annual Performance Bonus or Commissions
• Pension matched up to 8%
• Day one' access to great health, dental and optical insurance scheme
• Generous annual leave plus public holidays
• Cycle to Work Scheme
• Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads, plus 12 weeks half-pay for mums)
• Regular paid social events organized by our social committee
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly