Senior Machine Learning Engineer
- coventry, west midlands, CV1 1FB, United Kingdom
- Permanent·Remote
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled Senior Machine Learning Engineer to join their fully remote team, contributing to the development of sophisticated AI models. You will be responsible for designing, building, and deploying scalable machine learning systems that power innovative products and services. This role offers the unique opportunity to work with cutting-edge technologies and make a substantial impact from anywhere, collaborating with a talented group of professionals dedicated to pushing the boundaries of artificial intelligence, all within a flexible, remote-first work culture.
Key Responsibilities
- Design, develop, and deploy robust and scalable machine learning models and pipelines.
- Collaborate with data scientists and software engineers to implement and integrate ML solutions.
- Optimize ML models for performance, efficiency, and accuracy in production environments.
- Develop and maintain infrastructure for training, evaluating, and deploying ML models.
- Contribute to the architectural design of ML systems and provide technical leadership within the team.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in machine learning engineering or a related role.
- Proficiency in programming languages such as Python, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of MLOps principles and best practices for deploying and managing ML models.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Benefits
- Competitive salary and remote work flexibility.
- Comprehensive health, dental, and vision insurance plans.
- Generous allowance for home office setup and professional development.
- Opportunities for career growth and advancement within a leading AI company.
- A collaborative and supportive remote team environment, fostering work-life balance.


