Senior Machine Learning Engineer (Hybrid Working)Senior Machine Learning Engineer (Hybrid Working)

Responsibilities:
- Train, evaluate, and deploy advanced machine learning models to enhance the functionality of the drawing search system.
- Engage in the full software development lifecycle, including design, development, QA, deployment, experimentation, analysis, and iteration.
- Collaborate with cross-disciplinary teams and other ML groups to develop technical solutions for complex challenges.
- Continuously monitor and improve deployed models for optimal performance.
What Success Looks Like:
- Develop technology to analyze drawing images and extract meaningful information from them.
- Build image recognition models and annotation systems to support the drawing search functionality.
- Explore the integration of large-scale language models (LLMs) and large-scale visual models (LVMs).
- Work with data science teams to transition prototype models into production environments.
- Set and maintain high standards for engineering excellence and project delivery.
Benefits and Growth Opportunities:
- Solve highly complex technical problems alongside passionate and skilled team members.
- Collaborate with professionals from diverse expertise areas, including software engineering and machine learning.
- Gain experience in aligning technical solutions with business value creation.
- Opportunity to work closely with MLOps and product management teams, allowing for expanded responsibilities based on interest and initiative.