Machine Learning Engineer

Job overview

The Machine Learning Engineer position is fully remote. The posting states a base salary starting at $160,000, plus bonus potential. The role is part of Swish Analytics’ Data Science team, building predictive sports analytics products. The engineer develops and improves modeling systems and production infrastructure that generate accurate, low-latency sports datasets and predictions. This work supports scalable sports betting products and data science workflows across multiple leagues.

What you'll do

• Design, prototype, implement, evaluate, and optimize systems for sports datasets and predictions
• evaluate modeling frameworks and tools
• build, test, deploy, and maintain production systems
• collaborate with DevOps and Data Engineering on Kubernetes workloads, CI/CD, automation, and scripting
• support cloud-native enterprise data warehouse and ETL solutions
• maintain software development practices
• develop production-grade components and database structures.

What we're looking for

Skills & competencies

machine learning engineer

swish analytics

remote

sports analytics

sports betting

predictive modeling

python

sql

kubernetes

ci/cd

production systems

data science

$160k+ base

bonus potential

Work arrangement

• Weekend coverage required

Why this role

Fully remote; sports analytics, betting, and fantasy product focus; base salary starts at $160,000 with bonus potential.

About the employer

Swish Analytics is hiring for this role. Industry: Research and Development in the Social Sciences and Humanities. Sector: 54.