Lead Machine Learning Engineer

About the Role

Our client is seeking an experienced and visionary Lead Machine Learning Engineer to spearhead their AI initiatives in Birmingham . You will lead a team of talented engineers in building, deploying, and scaling sophisticated machine learning systems that drive critical business decisions and product innovations. This is a leadership role with significant impact, offering the chance to shape the technical direction and mentor a growing team within a supportive and forward-thinking organization. You will bridge the gap between cutting-edge research and practical, scalable applications, contributing to a culture that values technical excellence and collaborative problem-solving across the company.

Key Responsibilities

• Lead the design, development, and deployment of end-to-end machine learning pipelines.
• Architect robust, scalable, and production-ready ML systems and infrastructure.
• Mentor and guide a team of machine learning engineers, fostering their technical and professional development.
• Collaborate with data scientists, product managers, and software engineers to deliver impactful AI solutions.
• Establish best practices for ML development, including version control, testing, and monitoring.
• Evaluate and integrate new technologies and methodologies to enhance ML capabilities.

Requirements

• Master's or PhD degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in machine learning engineering, with at least 2 years in a leadership role.
• Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, XGBoost).
• Deep understanding of ML algorithms, model evaluation, and deployment strategies.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Proven ability to lead technical projects and mentor engineering teams effectively.

Benefits

• Attractive salary package with performance bonuses.
• Opportunities for professional growth and leadership development.
• Comprehensive health, dental, and vision benefits.
• Generous holiday allowance and company-provided training.
• Collaborative work environment focused on innovation and teamwork.