Senior Machine Learning Engineer

Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity.

Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.

Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.

About the role

This is an excellent opportunity for a Senior 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 lead 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.

Key Responsibilities of the role

• Lead 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.

• Define and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components.

• Can coordinate and manage competing priorities across a portfolio of projects.

• 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.

• Motivate, coach, mentor colleagues within the ML Engineering Team to develop technical excellence.

• Manage a team of up to 3 Machine Learning Engineers

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.

• 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..

• Ability to manage competing priorities across a portfolio of projects.

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.

• Knowledge of security best practices in machine learning engineering.

Job Posting End Date

2026-05-30

Equal Opportunities

Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected – all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It’s important to us that Haleon is a place where all our employees feel they truly belong.

During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees.

The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions.

Adjustment or Accommodations Request

If you require a reasonable adjustment or accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific adjustments you are requesting. We’ll provide all reasonable adjustments to support you throughout the recruitment process and treat all information you provide us in confidence.

Note to candidates

The Haleon recruitment team will contact you using a Haleon email account (@haleon.com). If you are not sure whether the email you received is from Haleon, please get in touch.