Senior Machine Learning Engineer
4 days ago
Haleon is a world-leading consumer health company that is shaping the future of everyday health for billions of people. We are seeking a highly skilled Senior Machine Learning Engineer to provide key contributions to a strategic digital programme that will transform our integrated business planning process.
This is an excellent opportunity for a seasoned professional to lead the deployment of machine learning solutions on our enterprise infrastructure, in line with ML engineering standards and best practices. The successful candidate will be responsible for designing and implementing end-to-end machine learning pipelines for various applications.
Key Responsibilities- Lead the deployment of ML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices.
- Manage the entire lifecycle of data science/machine learning models, including monitoring, data gathering for retraining, and updates.
- Implement ML engineering best practices, such as coding standards, code reviews, and automated testing.
- Define and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components.
- Coordinate and manage competing priorities across a portfolio of projects.
- Contribute to a highly collaborative team with a culture of ownership, initiative, and responsibility.
- Develop and maintain our Team's ML engineering standards of reusable DS, ML, and AI assets.
- Motivate, coach, and mentor colleagues within the ML Engineering Team to develop technical excellence.
- Manage a team of up to 3 Machine Learning Engineers.
- BSc, MSc, or PhD degree in mathematics, computer science, or another scientific discipline that provides solid foundations on relevant aspects of Data Science.
- 5-10 years of industry experience with proven experience implementing machine learning engineering pipelines on large datasets.
- Strong understanding of ML engineering best practices.
- Strong collaboration skills and comfortable working with ambiguity, making quick, informed decisions considering trade-offs.
- Experience with deploying machine learning solutions on enterprise infrastructure.
- Strong programming skills in Python or similar programming languages.
- Strong experience with cloud-based infrastructure and distributed computing systems.
- Experience with containerization and orchestration tools.
- Understanding of software engineering principles.
- Familiarity with DevOps practices and tools.
- Excellent problem-solving skills and the ability to debug complex issues in production environments.
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