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Machine Learning Engineer

2 months ago


London, Greater London, United Kingdom Machine Medicine Technologies Full time
About the Role

We are seeking an ambitious and capable Machine Learning engineer with direct experience deploying and maintaining machine learning pipelines in computer vision. You will be responsible for leading the design and development of ML pipelines, deploying machine learning models as microservices into production, and contributing to our research and academic papers.

Key Responsibilities
  • Design and develop ML pipelines to drive business value
  • Deploy machine learning models as microservices into production
  • Collaborate with cross-functional teams to drive innovation and growth
Requirements
  • Commercial Python experience (2 years)
  • Demonstrable experience deploying and monitoring Machine learning models
  • Strong understanding of ML techniques and statistical concepts
  • BSc MSc in a relevant quantitative subject (computer science, mathematical engineering, etc)
  • Experience with at least one deep learning framework (PyTorch or TensorFlow)
  • Experience with configuration management (Docker, Kubernetes)
  • Familiarity with cloud infrastructure (AWS EC2, S3, Batch)
Desirable Skills
  • Good communication and time management skills
  • Previous experience in the biomedical sector
About Us

Machine Medicine Technologies (MMT) uses computer vision and computational statistics to enhance the neurological assessment of patients. Our first product KELVIN allows motor assessments in Parkinson's disease to be performed, recorded, and used both faster and better than has ever previously been possible. KELVINPD is already in use at clinical sites across several countries. MMT aims to build the platform into a generalised tool for patient selection, surgical planning, and device programming for machine brain interfacing, a revolutionary therapeutic innovation.

Company Culture

We are a fast-moving startup with an energetic and dynamic team looking to disrupt the MedTech industry with AI. Our employees are encouraged to take on the sort of career development opportunities that cannot be found at larger, more established companies. We are in the highly regulated medical device industry, so our engineering team has to have an even greater focus on quality, usability, and versatility. We also like to blow off steam, whether that's playing a few rounds of table tennis in the office or arranging an online gaming session.

Company Benefits
  • Competitive salary
  • Employee equity programme
  • Pension
  • 25 days annual leave (bank holidays)