Senior Machine Learning Engineer

4 weeks ago


London, Greater London, United Kingdom newscientist - Jobboard Full time

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at NewScientist - Jobboard. As a key member of our AI team, you will be responsible for designing, developing, and deploying machine learning models that drive business innovation.

Key Responsibilities:
  • Design and Develop Machine Learning Models: Build and deploy machine learning models using algorithms such as regression, classification, clustering, and deep learning.
  • Model Training and Hyperparameter Tuning: Experiment with different model architectures and optimize hyperparameters to improve model accuracy and efficiency.
  • Data Processing and Feature Engineering: Collaborate with data engineers and scientists to preprocess, clean, and transform large datasets into formats that are suitable for machine learning.
  • Deploy Models into Production: Implement machine learning models in production environments, ensuring that they are scalable, reliable, and efficient.
  • Monitor and Improve Model Performance: Continuously monitor model performance in production, detecting issues such as model drift or degradation.
  • Collaborate with Cross-Functional Teams: Work closely with software developers, product managers, and data scientists to integrate machine learning models into products and services.
Requirements:
  • Machine Learning Expertise: Strong knowledge of machine learning algorithms, including supervised and unsupervised learning techniques.
  • Programming and Software Development: Proficiency in programming languages such as Python, R, or Scala, with experience writing production-level code.
  • Data Engineering and Feature Engineering: Hands-on experience with data preprocessing, feature selection, and engineering.
  • Model Deployment and DevOps: Experience deploying machine learning models into production using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
What We Offer:
  • Competitive Salary: We offer a competitive salary and benefits package.
  • Opportunities for Growth: We are committed to helping our employees grow and develop their careers.
  • Collaborative Environment: We have a collaborative and dynamic work environment.


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