Hybrid ML Engineer - Build Production-Ready AI Solutions

Huron Consulting Group; Belfast; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A global consultancy firm is seeking a Machine Learning Engineer to lead the full ML solution lifecycle, from design to production deployment. The role involves developing intelligent systems that address complex business problems across various industries such as Financial Services. The ideal candidate will have 2+ years of production ML experience, strong programming skills, and the ability to collaborate closely with clients. Flexibility for hybrid work and travel is expected, along with a bachelor's degree in a relevant field.

Benefits

Competitive salary

401(k) plan with employer match

Generous Paid Time Off policy

Paid parental leave

Qualifications

• 2+ years experience building and deploying ML solutions in production.
• Strong skills in Python and JavaScript, with deep experience in the ML ecosystem.
• Experience with cloud ML platforms like Azure, AWS, or Google AI Platform.

Responsibilities

• Design and build end-to-end ML solutions from data pipelines to production deployment.
• Collaborate with clients to understand business problems and translate them into technical solutions.
• Implement CI/CD pipelines and ensure reliability of ML solutions.

Skills

Python programming

JavaScript programming

Machine Learning fundamentals

Data pipeline development

MLOps practices

Cloud ML platforms

Education

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

Tools

FastAPI

Flask

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

SQL

Job description

A global consultancy firm is seeking a Machine Learning Engineer to lead the full ML solution lifecycle, from design to production deployment. The role involves developing intelligent systems that address complex business problems across various industries such as Financial Services. The ideal candidate will have 2+ years of production ML experience, strong programming skills, and the ability to collaborate closely with clients. Flexibility for hybrid work and travel is expected, along with a bachelor's degree in a relevant field.