bet365

Machine Learning Engineer

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6 hours ago
Denver, CO, USASenior

Base Salary

$120k - $140k/yr

Responsibilities

  • Own the deployment of machine learning models into production.
  • Build and maintain scalable, low-latency prediction endpoints using GCP Vertex AI.
  • Design, implement, and maintain CI/CD/CT pipelines for machine learning workflows using Vertex AI Pipelines, Cloud Build, and related GCP tools.
  • Create automated monitoring and alerting for data drift, model drift, and system performance using tools such as Vertex AI Model Monitoring.
  • Promote software engineering best practices within the Data Science team, including unit testing, containerization, version control, and CI/CD automation.
  • Collaborate with data science, AgentOps, and technical teams to accelerate deployments and remove operational bottlenecks.

Requirements

  • Proven experience as an ML Engineer, Data Engineer, or Software Engineer focused on deploying, monitoring, and scaling machine learning systems in production.
  • A pragmatic, proactive approach to system design that prioritizes speed, reliability, and business value.
  • Strong Python programming skills and knowledge of software engineering patterns, API development, and automated testing frameworks.
  • Extensive hands-on experience with Google Cloud Platform.
  • Practical experience with Vertex AI Pipelines, Vertex AI Endpoints, and Vertex AI Workbench.
  • Experience with Docker and container orchestration tools.
  • Experience with Terraform and Infrastructure as Code tools.
  • Experience running containerized workloads on Google Kubernetes Engine.
  • Familiarity with real-time streaming tools such as Apache Kafka or GCP Pub/Sub.
  • Excellent communication skills for translating software engineering concepts for data scientists and operational requirements for product leads.
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About bet365

5,001-10,000 employees

bet365 builds and operates a global online gambling platform for sports bettors and casino players, offering in‑play wagering, live streaming, poker, bingo, and games. The company monetizes through wagering and gaming services and is privately held, founded in 2000 by Denise Coates and headquartered in Stoke‑on‑Trent, UK. Its stack supports high‑volume, real‑time betting across many sports and languages.

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