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source · wttj·req · jb_a383bccca0·listed 4h ago
Senior Machine Learning Engineer
Proximie·London, United Kingdom·Hybrid·Full-time
Sourced listing · wttjNo salary disclosed
compensation · not disclosed
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Summary
the pitchJoin Proximie, a pioneering company in the field of intelligent operating rooms. As a Senior Machine Learning Engineer, you will leverage your technical expertise and real-world experience to develop and deploy machine learning solutions that improve clinical outcomes and drive productivity. You will work with multi-modal data, lead the development of intelligent systems, and collaborate with various teams to deploy AI models in hospitals worldwide. This role offers a competitive salary, bi-annual bonus, 25 days of paid leave, and opportunities for career advancement.
Role
posted by company- This role demands creativity, precision, and a deep understanding of real-world machine learning at scale. If you’re excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we’d love to hear from you
- Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable
- Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision
- Proficiency with Python and strong software development background
- PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred
- Ability to communicate complex technical concepts clearly to non-technical stakeholders
- Expertise in developing, training and fine-tuning machine learning and multi-modal models. Experience in training models with data originating from heterogeneous distributions is highly desirable
- Minimum of 4 years’ hands-on experience in industry, developing and deploying AI solutions which solve real-world problems
- Proficiency with deep learning frameworks such as TensorFlow/PyTorch
- Knowledge and experience with AWS is highly desirable
Key responsibilities
- Collaborate with product, engineering, and commercial teams to develop and deploy AI models for real-world applications in hospitals globally.
- Lead the development of intelligent systems that can automatically detect and capture key events in the operating room, designing robust solutions that work across diverse data distributions.
- Own the full model lifecycle including data curation, model implementation, training, validation, deployment, and maintenance.