Machine Learning Engineer

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Research & Development, London & Oxford

Are you an experienced Machine Learning professional with strong skills in AI, data structures, and algorithms? Do you want to use your expertise to build, deploy, and maintain predictive models for molecular properties that advance drug discovery? Can you ensure a high level of technical quality while working across a global pharmaceutical organization to deliver robust, scalable ML solutions?

Then you could be the one we are looking for. Join us as an ML Engineer and help turn data and models into real-world impact for patients.

Your new role

As our new Machine Learning Engineer, you will have a wide range of tasks such as:

Develop modelling code in close collaboration with modelling scientists and subject matter experts Train models and monitor performance, and develop analytics and experiments to improve the process Communicate about tasks and coordinate work with the team in an agile way Participate actively in code review (both as reviewer and reviewee) Present work regularly both within the team and to external stakeholders Study new libraries and technologies to evaluate dependencies and ensure continuous technical learning

Your new department

The Data & AI Engineering area is part of AI & Digital innovation, and consists of 4 engineering teams. We are transforming the way we do drug discovery, by embedding data & ML engineering practices in the scientific processes ripe for innovation. We accelerate insights & digitalization by professionalizing the use of scientific data and AI models.

Your skills & qualifications

We’re seeking candidates who fulfil the following prerequisites:

You hold a bachelor’s degree or master’s degree in computer science, electrical engineering, physics, math, statistics, information technology specialized within AI/ML or data and analytics, or similar. You have 4-6 years’ experience from a similar position in a large enterprise. Experience from the pharmaceutical industry is preferred. You have significant working experience with using the Python language, numpy, scikit-learn, PyTorch, and PySpark libraries. You possess high proficiency in multiple AI/ML frameworks and techniques, data structures and algorithms. You have experience in DevOps practices like CICD, containerization, and testing. Experience with managing cloud infrastructure is an advantage. You are fluent in English both written and spoken.

As a person you are open-minded, and you have an eager attitude towards learning. You are innovative and you thrive in a dynamic environment.