Senior Machine Learning Engineer (Remote)

About the Role

Our client is seeking an experienced Senior Machine Learning Engineer to join their fully remote team, contributing to the advancement of cutting-edge AI solutions. This role is crucial for developing, deploying, and maintaining scalable machine learning models that drive critical business insights and product features. Working remotely from Birmingham, West Midlands, UK , you will collaborate with a dynamic, distributed team of engineers and data scientists. This is an exceptional opportunity for a skilled ML engineer to make a significant impact in a forward-thinking organization that embraces remote work and fosters innovation in Artificial Intelligence .

Key Responsibilities

• Design, develop, and deploy production-ready machine learning models and pipelines.
• Collaborate with data scientists to translate experimental models into robust, scalable, and maintainable code.
• Optimize ML models for performance, efficiency, and accuracy using best practices in software engineering.
• Build and maintain the infrastructure required for training, validating, and deploying ML models at scale.
• Monitor deployed models, troubleshoot issues, and implement improvements to ensure reliability.
• Contribute to the continuous improvement of our ML development lifecycle and best practices.

Requirements

• Master's degree or PhD in Computer Science, Engineering, or a related quantitative field.
• 4+ years of professional experience in machine learning engineering or a closely related role.
• Strong programming skills in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software design principles.
• Excellent communication skills for effective remote collaboration.

Benefits

• Highly competitive salary and potential for performance bonuses.
• Fully remote position with flexible working hours.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for home office setup and equipment.
• Opportunities for professional growth and continuous learning in AI .
• Engaging virtual team-building activities and a supportive online community.