Machine Learning Engineer

AgileGrid Solutions; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Generous PTO

Training & development

Flexible work options

Job summary

Bet365 seeks a pragmatic ML Engineer to join the US Data team, building automated infrastructure for the ML lifecycle and operationalizing models from data science into production-grade systems. You will focus on automation, maintainability, and scalable platform engineering, reporting to the Data Science Team Leader.

You will work closely with the AgentOps Team Lead and UK technical center to ensure seamless deployment, monitoring, and scaling of models in production environments, emphasizing

Qualifications

• Proven experience deploying ML systems in production.

Responsibilities

• Own the deployment of machine learning models to production with scalable predictors.
• Design and maintain CI/CD/CT pipelines for ML workflows using Vertex AI Pipelines and Cloud Build.
• Set up automated monitoring and alerting for data drift and model performance via Vertex AI Monitoring.
• Champion software engineering best practices within the data science team, including testing and versioning.
• Collaborate with data scientists and Ops leads to accelerate deployment cycles and maintain velocity.
• Continuously evaluate infrastructure and deployment strategies to improve reliability and scalability.

Skills

Python

API development

Automated testing

GCP

Vertex AI

Docker

GKE

Terraform

Kafka

Pub/Sub

Communication

Tools

Docker

Kubernetes (GKE)

Terraform

Vertex AI

Cloud Build

GCP

Apache Kafka

GCP Pub/Sub

Job description

About The Company

Bet365 is a globally recognized leader in the online betting and gaming industry, renowned for its innovative approach, extensive product offerings, and commitment to delivering exceptional user experiences. With a strong presence across multiple markets, Bet365 combines cutting-edge technology with a customer-centric philosophy to maintain its competitive edge. The company emphasizes continuous growth, operational excellence, and a culture of innovation, making it an ideal environment for professionals seeking to make a significant impact in the tech-driven entertainment sector.

About The Company

Bet365 is a globally recognized leader in the online betting and gaming industry, renowned for its innovative approach, extensive product offerings, and commitment to delivering exceptional user experiences. With a strong presence across multiple markets, Bet365 combines cutting-edge technology with a customer-centric philosophy to maintain its competitive edge. The company emphasizes continuous growth, operational excellence, and a culture of innovation, making it an ideal environment for professionals seeking to make a significant impact in the tech-driven entertainment sector.

About The Role

We are seeking a highly pragmatic, results-driven Machine Learning (ML) Engineer to join our newly established US Data team at Bet365. In this pivotal role, you will be responsible for building reliable, automated infrastructure that powers our machine learning lifecycle. Your primary mission is to operationalize and scale models developed by our data science team, transforming prototypes into robust, production-grade systems with high velocity. The ideal candidate will focus on developing maintainable, automated solutions that prioritize pragmatism over over-engineering, demonstrating a passion for automation, software engineering excellence, and MLOps practices. You will report directly to the Data Science Team Leader and collaborate closely with the US AgentOps Team Lead, responsible for agentic and model orchestration platforms, as well as our UK technical excellence center. This role acts as a bridge between model development and reliable platform engineering, ensuring seamless deployment, monitoring, and scaling of machine learning models in production environments.

Qualifications

• Proven experience as an ML Engineer, Data Engineer, or Software Engineer with a focus on deploying, monitoring, and scaling machine learning systems in production environments.
• A pragmatic, proactive approach to system design, emphasizing speed, reliability, and business value over complex infrastructure.
• Strong Python programming skills, with a solid understanding of software engineering patterns, API development, and automated testing frameworks.
• Extensive hands-on experience with Google Cloud Platform (GCP), including Vertex AI, Cloud Build, and related GCP tools.
• Practical experience with containerization (Docker) and container orchestration tools such as GKE.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform.
• Experience with real-time streaming tools such as Apache Kafka or GCP Pub/Sub.
• Excellent communication skills, capable of translating complex technical concepts for diverse audiences, including data scientists and product leads.

Responsibilities

• Own the deployment of machine learning models to production, building and maintaining scalable, low-latency prediction endpoints using GCP Vertex AI.
• Design, implement, and maintain CI/CD/CT pipelines for machine learning workflows utilizing Vertex AI Pipelines, Cloud Build, and other GCP tools to ensure seamless model updates and deployments.
• Set up automated monitoring and alerting frameworks, such as Vertex AI Model Monitoring, to track data drift, model performance, and system health in real-time.
• Champion best practices for software engineering within the data science team, including robust unit testing, containerization, version control, and automation of deployment processes.
• Collaborate with cross-functional teams, including data scientists, the Data Science Team Leader, and the AgentOps Team Lead, to accelerate deployment cycles, streamline operational workflows, and maintain high deployment velocity.
• Continuously evaluate and improve infrastructure, automation tools, and deployment strategies to enhance system reliability and scalability.

Benefits

Bet365 offers a comprehensive benefits package designed to support our employees' well-being and professional growth. This includes competitive compensation, health insurance plans, retirement savings options, and generous paid time off. Employees have access to ongoing training and development programs, fostering continuous learning and career advancement. Additionally, Bet365 promotes a collaborative and inclusive work environment that encourages innovation, diversity, and work-life balance. Flexible working arrangements and remote work options are also available to support individual needs and enhance productivity.

Equal Opportunity

Bet365 is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, religion, disability, or any other protected characteristic. We believe that a diverse team enhances our creativity, innovation, and overall success, and we are dedicated to providing equal employment opportunities to all qualified candidates.