Machine Learning Engineer

4 days ago


London, Greater London, United Kingdom CV Library Full time

Machine Learning Engineer

CV Library is seeking a skilled Machine Learning Engineer to join our team. In this role, you will be responsible for designing and implementing machine learning models that drive operational improvements and enhance transactional capabilities.

Key responsibilities include:

  • Designing and developing machine learning models tailored to improve business processes and transactions.
  • Collaborating with data scientists, engineers, and business stakeholders to gather requirements and translate them into technical specifications.
  • Leading technical discussions and providing guidance on best practices for model development and deployment.
  • Evaluating and recommending machine learning frameworks, tools, and technologies to enhance solution effectiveness.
  • Conducting assessments of existing machine learning architectures and providing strategic recommendations for improvement.
  • Staying current with advancements in machine learning technologies and trends to drive innovation.

To be successful in this role, you will require:

  • A Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience in machine learning engineering position, with a focus on AI and machine learning.
  • Proficiency in machine learning technologies and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • A strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI services.
  • Excellent problem-solving skills and the ability to communicate complex concepts effectively.
  • Relevant certifications in AI or machine learning are a plus.

As a Machine Learning Engineer at CV Library, you can expect a competitive salary between £90,000 - £110,000 per annum, along with opportunities for continuous learning and professional growth in the AI field. You will also enjoy a collaborative, innovative work environment that encourages creativity, flexible work hours, and remote work options.



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