Machine Learning Expert
6 days ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our client's team in Buckinghamshire, UK. As a key member of the team, you will be responsible for developing and implementing advanced computer vision models and managing large datasets to ensure data quality and integrity.
Key Responsibilities- Computer Vision Model Development: Design, develop, and train advanced computer vision models to drive business growth and innovation.
- Data Management: Manage and process large datasets, maintaining data quality and integrity to support data-driven decision making.
- Pipeline Design: Design and implement robust CI/CD pipelines for machine learning models to ensure efficient deployment and scalability.
- Performance Optimization: Optimize model performance using CUDA to achieve high-quality results.
- Deployment: Deploy machine learning models into production environments, ensuring scalability and reliability.
- Collaboration: Work with cross-functional teams to integrate machine learning capabilities into products, driving business success.
- Technical Leadership: Provide technical leadership and mentorship to a small team of engineers and data scientists, fostering a culture of innovation and excellence.
- Continuous Learning: Stay updated with the latest developments in machine learning and computer vision to drive business growth and innovation.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Technical Expertise: 3+ years' industry experience in developing and training computer vision models.
- Programming Skills: Strong programming skills in Python and experience with machine learning frameworks such as PyTorch.
- Data Handling: Experience in managing and processing large datasets.
- Pipeline Knowledge: Familiarity with CI/CD pipelines for machine learning models.
- Performance Tools: Proficiency in using performance optimization tools like CUDA.
- Competitive Salary: Circa £45-70,000 DOE.
- Additional Benefits: Car salary sacrifice scheme, cycle to work scheme, statutory pension, and share options.
- Work-Life Balance: Hybrid working model with flexibility.
- Career Growth: Opportunities for professional development and growth in a dynamic environment.
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