Senior Machine Learning Engineer
- newcastle upon tyne, tyne and wear, NE1, United Kingdom
- Remote
- Full time
- £75,000 - £75,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled Senior Machine Learning Engineer to join their innovative team in Newcastle upon Tyne . This role is crucial for developing and deploying sophisticated machine learning models that will drive significant improvements across our client's core business operations and product offerings. You will play a key part in the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and production deployment. This is a fantastic opportunity for a seasoned professional to contribute to transformative AI projects, working remotely within a collaborative and technologically advanced environment.
Key Responsibilities
- Design, build, and maintain scalable machine learning systems and infrastructure.
- Develop, train, and evaluate machine learning models for various applications, including predictive analytics and recommendation engines.
- Implement and optimize ML algorithms, ensuring performance and efficiency.
- Collaborate with data scientists and software engineers to integrate ML models into production environments.
- Monitor and maintain deployed ML models, ensuring their accuracy and reliability over time.
- Contribute to the development of best practices for machine learning development and MLOps.
Requirements
- Master's degree or Ph.D. in Computer Science, Data Science, or a related field.
- 5+ years of hands-on experience in machine learning engineering.
- Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of statistical modeling and data mining techniques.
- Ability to work independently and as part of a remote team.
Benefits
- Competitive salary and performance bonuses.
- Flexible remote working arrangements.
- Comprehensive health and wellness benefits package.
- Generous annual leave and public holiday allowance.
- Access to professional development resources and training programs.


