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 be responsible for building and leading a team of talented engineers, designing robust ML systems, and driving the implementation of AI solutions across various business units. This is a critical role where you will have the autonomy to define technical strategies, foster innovation, and ensure the successful delivery of impactful AI products. Join us to make a tangible difference and guide the future of machine learning within a forward-thinking organization.

Key Responsibilities

• Lead the design, development, and deployment of scalable machine learning pipelines and production systems.
• Manage, mentor, and grow a team of ML engineers, fostering a culture of technical excellence and collaboration.
• Define and enforce best practices for ML development, including model training, evaluation, and monitoring.
• Collaborate with data scientists, product managers, and other stakeholders to understand business needs and translate them into ML solutions.
• Architect and implement robust data infrastructure to support ML workflows, ensuring data quality and availability.
• Troubleshoot and optimize ML models and systems for performance, accuracy, and reliability.

Requirements

• Master's or Ph.D. 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.
• Proven expertise in developing and deploying ML models in production environments using frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Python and experience with cloud platforms (AWS, Azure, GCP).
• Excellent understanding of software engineering principles, data structures, and algorithms.
• Demonstrated ability to lead technical projects and manage a team effectively.

Benefits

• Competitive salary package with significant bonus potential.
• Comprehensive private healthcare coverage for employees and their families.
• Generous annual leave and flexible working options.
• Opportunities for continuous learning, attending conferences, and advanced training.
• A dynamic and supportive work environment in the heart of Birmingham .