Machine Learning Engineer
- coventry, west midlands, CV11DA, United Kingdom
- Hybrid
- Full time
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client in Coventry is seeking a highly motivated Machine Learning Engineer to join their dynamic technology division. You will play a crucial role in designing, developing, and deploying sophisticated machine learning models that drive innovation across our product lines. This position involves working with large datasets, implementing cutting-edge algorithms, and collaborating with cross-functional teams to bring AI-powered features to life. This role offers a hybrid working model, blending the benefits of in-office collaboration with the flexibility of remote work, fostering a balanced and productive environment for our team members in the West Midlands region.
Key Responsibilities
- Develop, train, and deploy production-ready machine learning models using scalable infrastructure.
- Implement and optimize algorithms for data processing, feature engineering, and model evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into existing applications and platforms.
- Monitor model performance in production, identify areas for improvement, and implement necessary updates.
- Contribute to the development of MLOps best practices and tools to streamline the ML lifecycle.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 2+ years of professional experience as a Machine Learning Engineer or similar role.
- Proficiency in Python and relevant ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Experience with cloud platforms like AWS, Azure, or GCP, and containerization technologies (Docker, Kubernetes).
- Strong understanding of statistical modeling, data mining, and machine learning algorithms.
Benefits
- Competitive annual salary and performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Hybrid work arrangement offering flexibility and work-life balance.
- Opportunities for professional development and attending industry conferences.
- Collaborative team environment with a focus on innovation.


