Senior ML Engineer: Production & MLOps Architect

SAGE GROUP PLC; Newcastle upon Tyne; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading tech company in the UK seeks a Senior ML Engineer to take technical ownership of scalable machine learning environments. This role will lead the transition of experimental models into production-grade services, ensuring they are observable and efficient. Responsibilities include designing deployment pipelines, establishing monitoring frameworks, and integrating ML models into products seamlessly. Ideal candidates have a solid engineering background, with hands-on experience in ML systems and proficiency in cloud platforms like AWS.

Qualifications

• Strong experience delivering machine-learning systems in production.
• Proven software engineering background with motivation to grow into ML and MLOps.
• Experience with cloud environments, preferably AWS.

Responsibilities

• Design and own automated training and deployment pipelines.
• Lead in adopting software engineering best practices.
• Establish monitoring frameworks for system health and model metrics.
• Own strategy for AI cloud spending and optimization.
• Integrate models into product ecosystems seamlessly.
• Ensure documentation and audit trails for production deployments.

Skills

Production-quality Python

Version Control

CI/CD practices

API-first design

Cost Management

Observability

Tools

AWS SageMaker

Docker

Job description

A leading tech company in the UK seeks a Senior ML Engineer to take technical ownership of scalable machine learning environments. This role will lead the transition of experimental models into production-grade services, ensuring they are observable and efficient. Responsibilities include designing deployment pipelines, establishing monitoring frameworks, and integrating ML models into products seamlessly. Ideal candidates have a solid engineering background, with hands-on experience in ML systems and proficiency in cloud platforms like AWS.