Senior Machine Learning Engineer

About the Role

Our client is seeking an experienced Senior Machine Learning Engineer to join their innovative team in Birmingham . You will play a crucial role in developing and deploying sophisticated machine learning models that drive product innovation and enhance user experiences. This hybrid role offers the best of both worlds, combining the collaborative energy of in-office work with the flexibility of remote days. You will work closely with data scientists, software engineers, and product managers to bring AI-driven solutions to life, tackling complex challenges in areas such as predictive analytics, recommendation systems, and computer vision, and contributing to a culture that values continuous learning and technological advancement.

Key Responsibilities

• Design, build, and maintain scalable machine learning pipelines and production systems.
• Develop and fine-tune advanced ML models for diverse applications, ensuring robust performance and reliability.
• Collaborate with cross-functional teams to integrate ML solutions into existing products and services.
• Optimize ML algorithms and infrastructure for efficiency and cost-effectiveness.
• Contribute to the ML Ops strategy, including model deployment, monitoring, and retraining.

Requirements

• Master's degree or PhD in Computer Science, Data Science, or a related field.
• 5+ years of experience in machine learning engineering or a closely related role.
• Proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong understanding of data structures, algorithms, and software engineering best practices.

Benefits

• Competitive salary and attractive bonus structure.
• Hybrid work model promoting work-life balance.
• Comprehensive health, dental, and vision insurance.
• Pension scheme with employer contributions.
• Opportunities for professional growth and training in AI technologies .