Senior Data Engineer ML Platform

Get AI-powered advice on this job and more exclusive features. A globally renowned systematic hedge fund is seeking a Senior Data Engineer to join their Machine Learning Platform Engineering team. This is a high-impact role at the intersection of data, infrastructure, and machine learning, supporting the next generation of quantitative research and trading strategies. As a senior engineer, you will build scalable, production grade data pipelines and develop robust infrastructure powering ML experimentation, model training, and inference across the firm. This team owns the end-to-end machine learning platform used by quantitative researchers, data scientists, and traders. Key Responsibilities: Design and implement scalable, fault-tolerant data pipelines supporting ML workflows—from feature engineering and labelling to training and evaluation. Build internal platforms and services for model orchestration, experiment tracking, dataset versioning, and automated deployment of ML models. Partner with data scientists and quant researchers to understand workflow requirements and deliver performant, reusable tooling and infrastructure. Oversee best practices in data engineering and ML Ops across ingestion, validation, transformation, and lineage tracking. Own monitoring, observability, and operational support for production data and ML pipelines. Ideal Candidate Profile: Extensive experience in Python (or Java/Scala), with strong system design and data engineering skills. Hands-on experience with modern ML Ops tooling, such as Airflow, Argo Workflows, Kubeflow, or similar. Familiarity with distributed compute and storage systems such as Spark, Hive, Snowflake, or Delta Lake. Knowledge of containerization and orchestration (Docker, Kubernetes) in a production ML or data platform setting. Deep understanding of data modeling, data versioning, and best practices in building resilient, testable pipelines. Proven ability to work across technical and non-technical teams, especially in research or front-office environments. Prior exposure to financial data and quantitative research is a strong plus but not required. This is an opportunity to shape the future of ML infrastructure within a world-class quantitative investment firm. Apply now for a confidential discussion. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Analyst, Finance, and Engineering Industries Financial Services, Engineering Services, and Capital Markets Referrals increase your chances of interviewing at Algo Capital Group by 2x Get notified about new Data Engineer jobs in

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