Client's Mission and Platform
My client is dedicated to making the world’s intractable data interactable. They address the challenge of sharing essential data needed to solve global problems. Current data infrastructure limitations result in slow, costly, and often ineffective workarounds for collaborations between trusted partners. My client is developing a secure network to enable organisations to send algorithms to data, allowing data benefits to be shared without moving the data, compromising privacy, or exposing raw data.
Focus on Clinical Trials in Healthcare Sector
They are currently focusing on applying their platform to clinical trials within the healthcare sector. This initiative aims to facilitate privacy-preserving collaboration between healthcare providers and pharmaceutical companies, reducing friction in the process and accelerating the delivery of critical medicines to those in need.
Job Opportunity Details
- Position: Senior Python Software Engineer
- Expertise: MLOps and desktop app development
- Responsibilities: Developing a cutting-edge desktop application and its associated Python backend. Enabling users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. Addressing unique challenges in maintaining flexibility and robustness across different environments.
Key Technologies Required
- Python: Proficiency in Python and Python unit testing + 5 years
- MLOps: Experience with machine learning operations, including training and deploying ML models
- Automated Testing Frameworks: Knowledge of frameworks that contribute to continuous integration pipelines
- Container Technologies: Experience with tools such as Docker
- Desktop Application Development: Familiarity with developing and deploying desktop applications
- DevOps Practices: Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines
- ML Frameworks: Experience with PyTorch, TensorFlow, or NumPy
Profile Overview
- An experienced engineer with a track record in modern software engineering and DevOps practices
- Passionate about performance and reliability, with a focus on code quality and testing
- Ready to lead initiatives to improve the ML framework's reliability and performance across various hardware and OS configurations
- Experienced in a cloud setting but eager to apply skills to enable training and running models on consumer hardware
- Enjoys working in a diverse team, participating in discussions, and shaping engineering standards and best practices
- Energised by the mission to unlock data value for the benefit of humankind
Compensation Package
- Salary based on experience and market rate
- Share options
- Flexible work and tools
- Hybrid working policy: 1 day in office per week
- Personal budget for necessary equipment
- 25 days annual leave
- Private medical