Ml Engineer

The Company
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. KELVIN-PD is already in use at clinical sites across several countries and possesses a CE mark, being a class-I medical device. 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 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

Monthly socials

25 days annual leave (+UK bank holidays)

1 day remote working
Visa sponsorship
Additional information
Experience level: Mid/Senior
Tech stack:

Python, AWS, Docker, Torch, sklearn, pandas
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

Experience with core Python data science packages (NumPy, pandas, sklearn)

Experience with at least one deep learning framework (PyTorch or TensorFlow)

Desirable:
Experience with configuration management (Docker, Kubernetes)

Familiarity with cloud infrastructure (AWS EC2, S3, Batch)

Good communication and time management skills

Previous experience in the biomedical sector

Work Day: Full Time

JOB TYPE

Employment type:Permanent Job

JOB REQUIREMENTS

Minimal experience:Unspecified