Machine Learning Engineer

Oxford FULL TIME £0 / Year
(£4,167 - £5,833 / Month)

Job Description

Join our team as a Machine Learning Engineer, where you'll utilise algorithms and analytical techniques to develop data-driven solutions. You will design and implement machine learning models, ensuring high performance and accuracy in predictive analytics.

Responsibilities

  • Design, develop, and implement machine learning models and algorithms.
  • Analyse large datasets to derive meaningful insights and trends.
  • Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems.
  • Monitor model performance and make adjustments to improve efficiency and accuracy.
  • Stay updated with the latest trends in machine learning and AI technologies.
  • Document model development processes and deployment strategies.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or a related field
  • Master's degree preferred
Experience
  • 3+ years of experience in machine learning or AI-related roles
Technical Skills
  • Python
  • Data Analysis
  • Machine Learning Frameworks
Soft Skills
  • Analytical thinking
  • Team collaboration
Certifications
  • Certified TensorFlow Developer
  • AWS Certified Machine Learning – Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with deep learning models: Hands-on experience in developing and deploying deep learning models.
  • Familiarity with cloud services: Knowledge of deploying machine learning models on AWS or Azure.

Benefits

  • Competitive salary package
  • Generous annual leave
  • Comprehensive health benefits
  • Flexible schedule with remote options
  • Employee development programmes

Company Culture

  • Innovation and Creativity: We encourage out-of-the-box thinking and value innovative ideas from all team members.
  • Continuous Learning: Our team is committed to ongoing professional development, offering workshops and training.
  • Inclusive Environment: We strive to build an inclusive environment where diversity is celebrated.
Status: Open