Senior Machine Learning Engineer
- london, england, SW1A 0AA, United Kingdom
- Hybrid
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is at the forefront of innovation, seeking a highly skilled Senior Machine Learning Engineer to join their dynamic team in London . This pivotal role involves designing, developing, and deploying sophisticated machine learning models and systems that drive critical business decisions and product enhancements. You will collaborate with a world-class team of data scientists, software engineers, and product managers to tackle complex challenges in areas such as natural language processing, computer vision, and predictive analytics. This is an exceptional opportunity to make a significant impact on cutting-edge AI initiatives within a leading technology firm, fostering a culture of continuous learning and pushing the boundaries of what's possible.
Key Responsibilities
- Design, implement, and optimize advanced machine learning algorithms and models for production environments.
- Develop and maintain scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
- Conduct thorough research into emerging AI technologies and methodologies, recommending adoption where appropriate.
- Ensure the performance, reliability, and ethical implications of deployed ML systems.
Requirements
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Proven experience (5+ years) in building and deploying production-grade machine learning models.
- Strong proficiency in programming languages such as Python, and libraries like TensorFlow, PyTorch, scikit-learn.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
- Solid understanding of software engineering best practices, including version control, testing, and CI/CD.
Benefits
- Competitive salary package with performance bonuses.
- Hybrid work model offering flexibility between office and remote work.
- Comprehensive private healthcare coverage, including mental well-being support.
- Generous pension scheme and life assurance.
- Opportunities for professional development, attending conferences, and continuous learning.