Machine Learning Systems Engineer, Ads ML Platform

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Create and develop data infrastructure that facilitates large-scale computation, transformation, and storage of features and training sets.

• Establish frameworks for both batch and real-time features prioritizing reliability, scalability, and user-friendliness.

• Enhance platform capabilities for feature governance, which includes lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning.

• Collaborate with ML engineers to guarantee seamless integration of feature engineering processes into ML production systems.

• Construct systems that enable agentic ML workflows, incorporating automated feature discovery, feature quality assessment, and feature lifecycle management.

• Contribute to operational excellence by focusing on observability, performance optimization, reliability engineering, and initiatives for cost efficiency.

⛳️ Requirements

• Minimum of 3 years of experience in data infrastructure/platform engineering or ML infrastructure platforms.

• Practical experience in developing production services, data pipelines, APIs, workflow systems, or developer tools.

• Proficiency with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or comparable technologies.

• Understanding of ML data workflows, including feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving.

• Strong programming skills with the capability to produce clean, maintainable, and well-tested code.

• Experience in building intelligent automation or agentic workflows for ML systems is highly advantageous.

• Familiarity with ML infrastructure and MLOps workflows covering feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus.

🏝️ Benefits

• Comprehensive global benefit programs tailored to your lifestyle, ranging from workspace flexibility to professional development and caregiving support.

• Family planning assistance.

• Gender-affirming healthcare options.

• Mental health and coaching benefits.

• Group personal pension scheme with employer matching.

• Private medical and dental coverage.

• Income replacement programs.

• Bike-to-work initiative.

• Flexible vacation policy and paid time off for volunteering.

• Generous paid parental leave.