Related skills
production python tensorflow pytorch machine learningπ Description
- Work on a well-scoped ML project within a product/platform team
- Learn how ML systems are designed, built, evaluated and deployed
- Internship hosted in London HQ, in-person, 12-24 weeks
- 5 days a week in the office at Cannon Bridge House, London
- Opportunity to gain production ML experience at scale
- Potential for a full-time offer after internship
π― Requirements
- Working towards a BSc/MSc/PhD in CS/AI/ML/NLP/Statistics or related field
- Mastery of Python and an ML framework (TensorFlow, PyTorch, MLFlow)
- Experience in research and solving analytical problems
- Strong communicator and team player
- Passion for applied ML
- Comfortable applying discretion and independent judgment
π Benefits
- Hands-on experience with production ML systems
- Close mentorship from experienced ML Engineers
- Exposure to ML at scale in a fast-moving product environment
- Potential for a full-time offer on successful internship
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