Machine Learning Engineer

Owning the deployment of machine learning models to production

• BUILD scalable, low-latency prediction endpoints
• Maintain CI/CD/CT pipelines for machine learning workflows using cloud-native tools
• SET UP automated monitoring and alerting frameworks to track data drift, model drift, and system performance

Designing and maintaining CI/CD/CT pipelines for machine learning workflows

• Utilize cloud-native tools for designing and maintaining pipelines

Championing software engineering best practices

• Implement unit testing
• Containerize applications
• Use version control systems

Collaborating with data science and platform engineering leads

• Accelerate deployment cycles
• Remove operational bottlenecks

What we're looking for

• Proven experience in deploying, monitoring, and scaling machine learning systems in a production environment
• Strong Python programming skills with a solid grasp of software engineering patterns and API development
• Extensive hands-on experience with Google Cloud Platform (GCP) and Vertex AI
• Proficiency with containerization tools such as Docker and orchestration platforms like GKE
• Experience utilizing Infrastructure as Code tools such as Terraform and familiarity with real-time streaming tools

What's on offer

• Opportunity to work in a newly established, high-impact technical team
• Collaborative environment with a focus on software engineering excellence
• Exposure to cutting-edge cloud technologies and MLOps frameworks
• Hybrid working model providing flexibility and office-based collaboration
• Professional development within a global technical excellence network