Machine Learning Data Engineer

Cardiff Full-time £40,000 - £60,000 / Year
(£3,333 - £5,000 / Month)

Job Description

We are searching for a talented Machine Learning Data Engineer to join our expanding technology team in Cardiff. The successful candidate will work on developing and implementing machine learning models aimed at improving data processing and analysis.

Responsibilities

  • Implement machine learning algorithms across various applications to enhance efficiencies.
  • Monitor and maintain deployed models to ensure they are effective and up-to-date.
  • Stay informed about new trends in machine learning and AI technologies.
  • Participate in code reviews and contribute to team knowledge sharing.
  • Assist in training junior engineers and interns on machine learning best practices.

Requirements

Education
  • Bachelor's degree in a relevant field
  • PhD in Machine Learning or Data Science is advantageous
Experience
  • 5+ years of experience in software engineering with a focus on machine learning
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Problem-solving
  • Communication
Certifications
  • Google Cloud Certified - Professional Data Engineer
  • Certified Kubernetes Administrator
Languages
  • English: Fluent

Advantageous

  • Proficiency in Data Visualization tools: Experience in using tools like Tableau or Power BI to present data findings.
  • Experience in NLP techniques: Knowledge of natural language processing for potential application integration.

Benefits

  • Generous annual leave policy
  • Employee training and development programs
  • Access to cutting-edge technology and tools
  • Team-building activities and outings

Company Culture

  • Collaboration: Teamwork is essential; we believe in working together to achieve common goals.
  • Continuous Improvement: We are committed to the continuous development of our skills and expertise, encouraging learning at all stages.
  • Community Engagement: We support initiatives that add value to the community and encourage our employees to get involved.
Status: Closed