Senior ML Scientist – MLOps & Production (Flexible)

Markerstudy Group; Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading insurance firm is seeking a Senior Machine Learning Scientist to develop automated ML pipelines and mentor a team. The role involves deploying ML methods in a DevOps environment while adhering to best practices. Candidates should have experience in tuning machine learning methods, working with various predictive modelling techniques, and strong coding skills. A master’s degree in a relevant field is essential. The environment is dynamic and diverse, providing an excellent opportunity for innovation.

Qualifications

• Experience in tuning and deploying machine learning methods.
• Experience with various predictive modelling techniques.
• Familiarity with DevOps and MLOps technology stacks.

Responsibilities

• Create robust high-quality code using test-driven development (TDD).
• Deploy and maintain machine learning methods in a DevOps environment.
• Mentor and coach a team of junior machine learning specialists.

Skills

Experience in tuning and deploying machine learning methods

Predictive modelling techniques (Logistic Regression, GBMs, etc.)

DevOps and Azure ML

Production grade coding and SOLID principles

Programming languages (Python, PySpark, etc.)

Source-control software (GitHub)

Communicating results effectively

Education

Master's level degree in a STEM-based DS / ML / AI / or mathematical discipline

Job description

A leading insurance firm is seeking a Senior Machine Learning Scientist to develop automated ML pipelines and mentor a team. The role involves deploying ML methods in a DevOps environment while adhering to best practices. Candidates should have experience in tuning machine learning methods, working with various predictive modelling techniques, and strong coding skills. A master’s degree in a relevant field is essential. The environment is dynamic and diverse, providing an excellent opportunity for innovation.