About the role
This is an excellent opportunity for a Machine Learning Engineer to provide key contribution to a strategic digital programme expected to transform the integrated business planning process in Haleon. The successful candidate will contribute to the deployment of machine learning solutions that will transform our integrated business planning process. In this role, you will be responsible for designing and implementing end-to-end machine learning pipelines for various applications. You will be working alongside a team of excellent Senior Machine Learning Engineers, with a strong focus on growth and development.
Key Responsibilities of the role
- Contribute to the deployment of ML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices (version control, testing, deployment, maintenance).
- 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.
- Work with Senior Machine Learning Engineers to design and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components.
- Ability to influence across organisations, proven collaboration skills, comfortable working with ambiguity, collaborate with cross-functional teams, including data scientists, data engineers, and business stakeholders.
People and Team management
- Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility.
- Contribute to the development of our Team’s ML engineering standards of reusable DS, ML, and AI assets.
Necessary Qualifications & Skills
- BSc, MSc or PhD degree in mathematics, computer science, or another scientific discipline that provides solid foundations on relevant aspects of Data Science.
- 2-4 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.
Highly desirable Qualifications & Skills
- Strong experience with cloud-based infrastructure and distributed computing systems, such as Azure, AWS, or GCP.
- Experience with containerization and orchestration tools, such as Docker and Kubernetes.
- Understanding of software engineering principles, such as modular design, clean code, and testing.
- Familiarity with DevOps practices and tools, such as continuous integration and deployment (CI/CD) pipelines and configuration management tools like Ansible or Terraform.
- Excellent problem-solving skills and the ability to debug complex issues in production environments.
- Strong communication skills and the ability to collaborate with cross-functional teams.
- Familiarity with monitoring and logging tools, such as Grafana, Prometheus, and ELK Stack.
Care to join us. Find out what life at Haleon is really like www.haleon.com/careers/
At Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
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