Location: London, UK

Type: Full-Time, Permanent

Salary (£): From £40,000 per year

About Machine Medicine Technologies

Machine Medicine Technologies (MMT) is at the forefront of MedTech innovation, utilizing computer vision and computational statistics to enhance neurological assessments. Their flagship product, KELVIN, revolutionizes motor assessments for Parkinson’s disease, delivering faster and more accurate results. As a fast-paced startup, MMT offers a dynamic and collaborative work environment, providing unique career development opportunities not typically found in larger companies.

Job Details

Benefits

• Casual dress code
• Company pension scheme
• Cycle to work scheme
• Flexitime for a better work-life balance
• Private medical insurance
• Sick pay
• UK visa sponsorship for international candidates

Requirements

• Bachelor’s or Master’s degree in Statistics, Data Science, or a related field
• Production-level experience with Python
• Strong skills in statistical analysis and machine learning techniques
• Familiarity with data science libraries such as sklearn, pandas, and numpy
• Experience with deep learning frameworks like TensorFlow, PyTorch, and Fastai (beneficial but not necessary)
• Competence in managing code in production environments, optimizing data pipelines, and contributing to academic publications
• Additional experience with AWS (EC2, S3, Lambda, Batch) is an advantage

Salary Details

• Starting salary from £40,000 per year, with potential for growth based on performance and experience

About the Role

This role involves developing and deploying machine learning models, performing statistical analysis on multimodal datasets, and optimizing data pipelines. The Data Scientist will contribute to MMT’s mission of revolutionizing neurological assessments, working closely with the engineering team to ensure quality and usability in the highly regulated medical device industry.

Key Responsibilities

• Develop and deploy machine learning models using Python
• Conduct statistical analysis on diverse datasets
• Manage and optimize data pipelines in a production environment
• Contribute to academic research and publications
• Collaborate with cross-functional teams to enhance MMT’s products

Other Details

This position requires the candidate to be based in or relocate to London, with the option of flexible working hours. MMT is committed to diversity and welcomes applicants from all backgrounds.

Equal Opportunity Statement

Machine Medicine Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability, or any other characteristic protected by law.