At a Glance
- Tasks: Build infrastructure to unlock scientific data and deploy AI/ML solutions.
- Company: Roche, a leader in healthcare innovation.
- Benefits: Competitive salary, health benefits, and flexible onsite work.
- Other info: Join a dynamic team focused on advancing scientific research.
- Why this job: Make a real impact on scientific discovery with cutting-edge technology.
- Qualifications: Experience in machine learning and strong collaboration skills.
The predicted salary is between 80000 - 100000 £ per year.
Roche is seeking a Machine Learning Engineer in Welwyn, UK, with onsite work three days per week.
You will build infrastructure to unlock scientific data, evaluate AI/ML models, and deploy solutions in a collaborative setting with researchers and product managers.
The role emphasizes end-to-end ownership, strong testing and documentation, and a drive to advance data-driven scientific discovery using Kubernetes and cloud-native architectures.
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ML Engineer - AI Enablement for Scientific Data in Welwyn employer: F. Hoffmann-La Roche AG
Roche is an exceptional employer, offering a dynamic work environment in Welwyn that fosters innovation and collaboration within the Supply Chain and Engineering sectors. Employees benefit from a strong commitment to continuous development, inclusive culture, and opportunities for professional growth, all while being part of a high-performing team dedicated to delivering impactful procurement solutions. With a focus on psychological safety and community building, Roche empowers its workforce to experiment, learn, and celebrate successes together.
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We think this is how you could land ML Engineer - AI Enablement for Scientific Data in Welwyn
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We think you need these skills to ace ML Engineer - AI Enablement for Scientific Data in Welwyn
Some tips for your application 🫡
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
