Remote Machine Learning Engineer - Build Scalable AI Models

Quik Hire Staffing; United States; Remote; GBP 70,000 - 110,000; Full time

Job summary

Quik Hire Staffing partners with a global technology leader to hire a Machine Learning Engineer for a remote, full-time position. You will design, develop, and deploy ML models, collaborating with data scientists and software engineers to integrate AI into production systems.

The role emphasizes Python, ML frameworks, cloud deployment, and scalable pipelines. You will iterate experiments, optimize models, and contribute to cross-functional projects in a fast-paced environment.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow or PyTorch).
• Strong background in data structures, algorithms, and statistical modeling.
• Experience with cloud platforms (AWS, Google Cloud, or Azure) for deployment.
• Knowledge of SQL and databases for data prep.
• Familiarity with version control (Git) and collaborative workflows.
• Understanding of MLOps for monitoring, logging, CI.
• Experience with hyperparameter tuning and model optimization.

Responsibilities

• Design and implement ML models using Python and TF/PyTorch.
• Collaborate with data scientists and engineers to deploy models to production.
• Optimize models for scalability, accuracy, and efficiency.
• Develop and maintain data preprocessing, feature engineering, and training pipelines.
• Conduct experiments to evaluate performance and iterate based on business needs.

Skills

Python

TensorFlow

PyTorch

Cloud platforms

SQL

MLOps

Git

Job description

Quik Hire Staffing partners with a global technology leader to hire a Machine Learning Engineer for a remote, full-time position. You will design, develop, and deploy ML models, collaborating with data scientists and software engineers to integrate AI into production systems.

The role emphasizes Python, ML frameworks, cloud deployment, and scalable pipelines. You will iterate experiments, optimize models, and contribute to cross-functional projects in a fast-paced environment.