Machine Learning Engineer
- coventry, west midlands, CV1 2GN, United Kingdom
- Job type not listed
- Full time
- £75,000 - £75,000 Per Annum
Job Description
About the Role
Our client is seeking a talented and driven Machine Learning Engineer to join their innovative technology hub in Coventry, West Midlands . You will play a crucial role in developing, deploying, and maintaining machine learning models that power our client's core products and services. This position offers the chance to work on challenging projects, collaborate with a highly skilled team of engineers and data scientists, and make a tangible impact on the business. If you are passionate about building intelligent systems and solving complex data problems, this is the role for you.
Key Responsibilities
- Develop and implement robust machine learning pipelines for data preprocessing, model training, and deployment.
- Build, test, and optimize predictive models using various machine learning algorithms.
- Collaborate with software engineers to integrate ML models into production environments.
- Monitor model performance in production and implement improvements or retraining strategies as needed.
- Analyze large datasets to identify patterns, extract insights, and inform model development.
- Contribute to the team's best practices in MLOps, code quality, and documentation.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 2+ years of hands-on experience in machine learning engineering or data science.
- Proficiency in Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Understanding of ML concepts, algorithms, and best practices.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker) is advantageous.
Benefits
- Competitive annual salary with potential for performance bonuses.
- Comprehensive private medical insurance.
- Generous pension scheme.
- Opportunities for continuous learning and professional development.
- A dynamic and supportive work environment in a growing technology sector.


