ML Platform Lead: Production-Ready Models & MLOps

NewDay Technology Limited; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

NewDay Technology Limited in Greater London is seeking a Lead ML Engineer to define how machine learning systems are delivered and operated. You will focus on establishing standards and practices for models transitioning to production, ensuring reliability and maintainability through robust engineering methodologies.

The ideal candidate will have significant experience in building and operating machine learning systems, particularly in defining standards, enabling data science teams, and enhancing ML delivery across various environments. This opportunity offers a chance to lead technical direction and contribute to a vibrant company culture that values diversity and inclusion.

Qualifications

• Experience in model serving, monitoring, and lifecycle management.
• Strong understanding of batch and real-time environments.
• Ability to create clear standards and reusable patterns.

Responsibilities

• Establish reusable patterns for model serving, pipelines, and deployment.
• Define standards for model packaging, versioning, CI/CD, monitoring.
• Provide technical direction for ML solutions delivered within the team.

Skills

Building and operating ML systems in production

Understanding of serving patterns

Defining engineering approaches for Data Science teams

Setting technical direction

Experience with cloud ML platforms (e.g., AWS SageMaker)

Strong communication skills

Tools

AWS SageMaker

Airflow

Step Functions

Job description

NewDay Technology Limited in Greater London is seeking a Lead ML Engineer to define how machine learning systems are delivered and operated. You will focus on establishing standards and practices for models transitioning to production, ensuring reliability and maintainability through robust engineering methodologies.

The ideal candidate will have significant experience in building and operating machine learning systems, particularly in defining standards, enabling data science teams, and enhancing ML delivery across various environments. This opportunity offers a chance to lead technical direction and contribute to a vibrant company culture that values diversity and inclusion.