Machine Learning Engineer

Hello. We’re Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we’re improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands – including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum – through a unique combination of deep human understanding and trusted science. What’s more, we’re achieving it in a company that we’re in control of. In an environment that we’re co-creating. And a culture that’s uniquely ours. Care to join us. It isn’t a question.

With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we’re uniquely placed to do this and to grow a strong, successful business.

This is an exciting time to join us and help shape the future. It’s an opportunity to be part of something special.

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

· Key skills needed for a Machine Learning Engineer: Azure, Python, deploying (rather than building) models in Production, MLOps with Kubernetes/Docker, Automation CI/CD pipelines with GitHub actions/Azure DevOps, DataBricks.

· Production deployment experience essential.

· They will take a model developed by a Data Scientist and deploy models into Production in a scalable way (MLOps), so experience deploying models is critical (not building models).

· Experience level: Senior.

Functional Requirements

As a Senior Machine Learning Engineer, you:

· Contribute to all aspects of the Data Science Project Lifecycle, with a focus on scalable operation and production.

· Can coordinate and manage competing priorities across a portfolio of projects

· Provide leadership and guidance on the development and monitoring of ongoing data engineering pipelines and the delivery of ML models from prototypes to production.

· Own and define the key performance indicators (KPIs) and diagnostics to measure performance against business goals

· Ability to influence across organisations, proven collaboration skills, comfortable working with ambiguity, ability to make quick, informed decisions taking into account trade-offs.

· Can conceptualize, formulate, prototype and implement ML pipelines to solve business problems

· Proven extensive experience developing and implementing Machine Learning engineering pipelines on large data sets

Domain Expertise

As a Senior Machine Learning Engineer, you:

· Have a good working knowledge cloud based and local data science frameworks and toolkits.

· Are experienced in Agile methodologies and the hypothesis-driven approach

· Have a deep knowledge of a sufficiently broad area of technical specialism in ML engineering methodology and best practices and are a valued and trusted expert

· Have a practical experience productionising machine learning, Deep Learning and natural language understanding/processing models

· Experience with Azure.

Shivam Jha

Sr. Technical Consultant

Mobile: ++1.74+30+3761

Email: [email protected]

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