Senior Machine Learning Engineer

About the Role

Our client is seeking an accomplished Senior Machine Learning Engineer to join their innovative team based in London . This pivotal role involves developing and deploying cutting-edge machine learning models that drive business strategy and enhance product offerings. You will be instrumental in shaping the future of AI within the organization, working on challenging projects that push the boundaries of what's possible. This position offers a unique opportunity to contribute to high-impact initiatives in a collaborative and dynamic environment, leveraging advanced AI techniques to solve complex real-world problems and influence technological advancements across the company. You'll be part of a forward-thinking department dedicated to research and development.

Key Responsibilities

• Design, train, and deploy sophisticated machine learning models for various applications, including predictive analytics and natural language processing.
• Develop and maintain scalable ML pipelines for data ingestion, feature engineering, model training, and deployment.
• Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into production systems.
• Conduct thorough model evaluation and performance monitoring, iterating to improve accuracy and efficiency.
• Research and implement state-of-the-art ML algorithms and techniques to address business challenges.
• Contribute to the team's technical direction and mentor junior engineers in best practices for ML development.

Requirements

• Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
• Proven experience (5+ years) in developing and deploying production-level machine learning systems .
• Strong proficiency in programming languages such as Python, along with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Expertise in various ML domains, including deep learning, reinforcement learning, and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent analytical and problem-solving skills with a strong understanding of data structures and algorithms.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme and life assurance.
• Opportunities for professional development, including conferences and training.
• Hybrid working model offering a balance between office collaboration and remote flexibility.
• Access to state-of-the-art technology and research facilities.