Location:
London, United Kingdom
Type:
Full-Time, Permanent, Monday to Friday, Flexitime
Salary (£):
Starting from £40,000 per year
About Machine Medicine Technologies:
Machine Medicine Technologies (MMT) is a cutting-edge MedTech startup that leverages AI, computer vision, and computational statistics to revolutionize the neurological assessment of patients. Their flagship product, KELVIN, enhances motor assessments in Parkinson’s disease, transforming how clinicians gather and analyze patient data. MMT’s goal is to build a platform for patient selection, surgical planning, and device programming for machine brain interfacing, paving the way for groundbreaking therapeutic innovations.
Job Details
Benefits:
- UK Visa Sponsorship
- Private medical insurance
- Casual dress code
- Flexitime working hours
- Company pension scheme
- Cycle to work scheme
- Sick pay
- Work-from-home options
Requirements:
- Bachelor’s degree in Data Science, Statistics, or a related field (Master’s preferred)
- Strong proficiency in Python, including libraries like sklearn, pandas, and numpy
- Experience with production-level machine learning models and statistical analysis
- Knowledge of deep learning frameworks such as TensorFlow or PyTorch (beneficial but not mandatory)
- Familiarity with AWS tools such as EC2, S3, Lambda, and Batch is a plus
- Experience working with code management tools (Git, Bash)
- Excellent communication skills with a focus on data visualization
Salary Details:
The starting salary for this role is £40,000 per year, with opportunities for growth based on performance and experience.
About the Role
As a Data Scientist at MMT, the successful candidate will focus on developing and deploying machine learning models, optimizing data pipelines, and performing statistical analysis on multimodal datasets. They will work closely with a dynamic team of engineers and data professionals in a fast-paced startup environment, contributing to both the technical and academic growth of the company. The candidate should be comfortable managing code in a production environment and have a keen interest in the practical applications of machine learning in the biomedical sector.
Key Responsibilities:
- Design and deploy machine learning models
- Conduct statistical analysis on complex datasets
- Optimize and scale existing data pipelines
- Collaborate on academic research publications
- Maintain and improve production-level code
- Utilize AWS infrastructure for data storage and processing
Additional Information
This is an ideal opportunity for someone with a background in data science, machine learning, or computational statistics who is eager to make an impact in the medical technology field.
Equal Opportunity Statement:
Machine Medicine Technologies is an equal opportunity employer and values diversity. They welcome applicants from all backgrounds to apply.
