Machine Learning Engineer

Key Responsibilities

• Build feature extraction, classification, and regression models for predicting biologically relevant phenomena from in-house data.
• Work with leadership, product, and R&D scientists to define success criteria for models and develop metrics that track those criteria.
• Choose, design and implement statistical and machine learning methods to drive business-critical metrics.
• Deploy models into production in a cloud environment following best practices.
• Responsible for high quality software implementations according to best practices, including automated test suites and documentation.
• Participate in code reviews, continuously improving personal standards as well as the wider team and product.

Minimum Qualifications

• 2+ years of Machine Learning Engineering or Data Scientist experience with a Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience.
• Experience building ML models for high-dimensional data.
• Strong background in using quantitative methods for measuring real-world problems.
• Strong skills with industry experience in Python, including unit testing (e.g. pytest).
• Knowledge of agile practices and able to perform in agile software development environments.
• Experience with modern software development tools / ways of working (e.g git/GitHub, CICD, cloud deployment).

Preferred Qualifications

• Demonstrated experience with biological or scientific data (e.g. histology imaging, transcriptomics, clinical records), or pharmaceutical industry experience.
• Bioinformatics expertise, especially for imaging data.
• Experience with agentic workflows, including skills and rubrics.
• Experience with Docker or containerized applications.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Inclusion at GSK

GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

If you need any adjustments in the recruitment process, please get in touch with our Recruitment team (EMEA-GSKLink@allegisglobalsolutions.com) to further discuss this today.

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