Machine Learning Engineer

Cambridge FULL TIME £40,000 - £60,000 / Year
(£3,333 - £5,000 / Month)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our dynamic team in Cambridge. In this role, you will design and implement cutting-edge machine learning models that tackle real-world challenges. You will work closely with data scientists and software engineers to integrate these models into various applications, enhancing user experiences and operational efficiencies.

Responsibilities

  • Lead the development of innovative machine learning solutions for diverse applications.
  • Analyse complex datasets to extract actionable insights and build predictive models.
  • Coordinate with IT to manage deployment and troubleshooting of machine learning models.
  • Train and mentor junior engineers in machine learning best practices.
  • Research new methodologies in the AI field to enhance current projects.

Requirements

Education
  • Bachelor's degree in Data Science or a related field
  • Master's or PhD in AI/Machine Learning is an advantage
Experience
  • 3-5 years of experience in machine learning projects
Technical Skills
  • R
  • SQL
Soft Skills
  • Critical thinking
  • Effective communication
Certifications
  • Certified Machine Learning Specialist
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Proficiency in Git: Experience with version control using Git for collaborative projects.
  • Knowledge of data visualization tools: Familiarity with tools like Tableau or Matplotlib for data presentation.

Benefits

  • Comprehensive health insurance coverage
  • Generous leave policies
  • Flexible work arrangements
  • Access to training and conferences

Company Culture

  • Continuous Learning: We encourage continuous professional growth through training and workshops.
  • Employee Well-being: Employee health and well-being are our top priorities, with programs to support a balanced lifestyle.
  • Flexible Work Options: Enjoy the freedom of flexible working arrangements to suit your lifestyle.
Status: Closed