Senior Machine Learning Engineer

About the Role

Our client, a pioneer in Artificial Intelligence , is seeking an experienced Senior Machine Learning Engineer to join their dynamic team in London . This role is pivotal in developing and deploying cutting-edge AI solutions that drive innovation across various industries. You will be instrumental in architecting scalable ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment, contributing to our client's leadership in the field of emerging technologies . This position offers a unique opportunity to work with vast datasets and state-of-the-art technologies in a collaborative environment focused on pushing the boundaries of what's possible with AI.

Key Responsibilities

• Design, build, and maintain robust and scalable machine learning models and pipelines using Python and associated libraries.
• Conduct thorough research and experimentation to identify and implement novel algorithms and techniques to solve complex business problems.
• Collaborate with data scientists, software engineers, and product managers to integrate ML models into production systems and applications.
• Optimize model performance, latency, and resource utilization for large-scale deployments .
• Stay abreast of the latest advancements in AI and machine learning , evaluating and recommending new tools and technologies.
• Develop and implement rigorous testing and validation strategies for ML models to ensure accuracy and reliability.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering or a similar role.
• Proficiency in programming languages such as Python, with extensive experience in libraries like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistical modeling, data mining, and deep learning concepts.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving skills and the ability to communicate technical concepts clearly to both technical and non-technical audiences.

Benefits

• Competitive salary package and performance-based bonuses.
• Access to continuous learning and professional development opportunities.
• Generous pension scheme and comprehensive health insurance.
• A vibrant and inclusive work culture that fosters innovation and collaboration.
• Opportunities for career advancement within a leading AI company.