Senior Machine Learning Engineer - Computer Vision
- london, england, SW1A 0AA, United Kingdom
- Job type not listed
- Full time
- £75,000 - £75,000 Per Annum
Job Description
About the Role
Our client is at the forefront of innovation in Artificial Intelligence and is seeking an accomplished Senior Machine Learning Engineer with a specialization in Computer Vision to join their dynamic team in London . This pivotal role involves architecting and implementing cutting-edge deep learning models that solve complex real-world problems. You will be instrumental in developing next-generation AI solutions, contributing significantly to the company's research and product development efforts. This is an exceptional opportunity to work with a highly collaborative and expert team in a stimulating environment, driving advancements in AI and its practical applications.
Key Responsibilities
- Design, train, and deploy advanced computer vision models using deep learning frameworks such as TensorFlow or PyTorch.
- Develop and implement algorithms for image recognition, object detection, segmentation, and other visual tasks.
- Collaborate with cross-functional teams to integrate ML models into production systems and applications.
- Conduct research into new AI techniques and methodologies, staying abreast of the latest advancements in the field.
- Optimize model performance for efficiency, accuracy, and scalability across various hardware platforms.
- Mentor junior engineers and contribute to the team's knowledge sharing and best practices in AI development .
Requirements
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven experience (5+ years) in developing and deploying machine learning models, with a strong focus on computer vision .
- Expertise in Python and deep learning libraries like TensorFlow, PyTorch, or Keras.
- Solid understanding of mathematical principles underlying ML, including linear algebra, calculus, and statistics.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
Benefits
- Competitive annual salary and performance-based bonuses.
- Generous stock options package.
- Comprehensive health, dental, and vision insurance.
- Opportunities for professional development, conference attendance, and continuous learning.
- A vibrant and inclusive work environment in the heart of London .


