Senior Machine Learning Engineer

About the Role

Our client is at the forefront of leveraging cutting-edge artificial intelligence and emerging technologies to solve complex real-world challenges. We are seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team in London . In this pivotal role, you will be instrumental in designing, developing, and deploying sophisticated machine learning models and AI systems that drive innovation across our product portfolio. You will collaborate with a world-class team of researchers, engineers, and data scientists, pushing the boundaries of what's possible in AI and contributing significantly to our strategic technological advancements. This position offers a unique opportunity to work on impactful projects with access to state-of-the-art resources and a culture that fosters continuous learning and professional growth.

Key Responsibilities

• Design, implement, and evaluate advanced machine learning algorithms and statistical models.
• Develop and optimize ML pipelines for data preprocessing, feature engineering, model training, and deployment.
• Collaborate with software engineers to integrate ML models into production systems and applications.
• Conduct rigorous A/B testing and performance analysis to validate and improve model efficacy.
• Stay abreast of the latest research in AI and machine learning , exploring novel techniques and tools.
• Mentor junior engineers and contribute to the team's technical roadmap and best practices.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
• Proven experience (5+ years) in developing and deploying production-ready machine learning models .
• Proficiency in programming languages such as Python, R, or Java, and ML libraries like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of deep learning architectures, natural language processing, or computer vision.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
• Excellent problem-solving skills and a passion for innovation in emerging technologies .

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and flexible holiday policies.
• Opportunities for professional development, including conferences and training.
• Access to cutting-edge research and development facilities in London .
• Hybrid work model promoting work-life balance.