Machine Learning Engineer

Cambridge FULL TIME £35,000 - £50,000 / Year
(£2,916 - £4,167 / Month)

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team. The ideal candidate will possess a strong foundation in machine learning algorithms, data analysis, and software development, with the ability to create scalable models that drive meaningful insights.

Responsibilities

  • Create scalable machine learning models for various applications.
  • Work with cross-functional teams to integrate machine learning solutions into existing products.
  • Perform model validation and optimisation for maximum efficiency.
  • Document processes and methodologies for reproducibility.
  • Provide mentorship to junior engineers and interns.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree or PhD preferred
Experience
  • 3+ years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • SQL
  • Data Visualization
Soft Skills
  • Analytical Thinking
  • Collaboration
  • Communication
Certifications
  • Certified TensorFlow Developer
  • AWS Certified Machine Learning – Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms such as AWS or Azure: Practical experience deploying machine learning models in cloud environments.
  • Familiarity with DevOps practices: Understanding of CI/CD principles and best practices in machine learning.

Benefits

  • Competitive salary and performance bonuses
  • Comprehensive health insurance
  • Flexible working hours and remote work options
  • Employee development programmes

Company Culture

  • Innovation: We thrive on innovation, encouraging our employees to push boundaries in technology and ideas.
  • Collaboration: Our team works closely together to achieve common goals, fostering an inclusive atmosphere.
  • Work-Life Balance: We believe in maintaining a healthy work-life balance to ensure employee well-being.
Status: Closed