ML Engineer

About you

You are an ambitious and capable Machine Learning engineer with direct experience deploying and maintaining machine learning pipelines in computer vision. You have a superb command of general programming principles and code deployment practices. You care about impact and want to do work that matters.

List of main duties and responsibilities:

• Leading the design and development of ML pipelines
• Deploying machine learning models as microservices into production
• Contributing to our research and academic papers

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:

• Good communication and time management skills
• Previous experience in the biomedical sector

Additional information

• Experience level: Mid
• Tech stack used: Python AWS
• Primary skills we consider: Python Sklearn
• Secondary skills we consider: AWS Tensorflow PyTorch Fastai
• Employment type: Permanent and Full time
• Visa sponsorship: Available

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 Parkinsons 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.

Culture
A fastmoving 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 thats 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)