Machine Learning Engineer

Cambridge FULL TIME £45,000 - £65,000 / Year
(£3,750 - £541,667 / Month)

Job Description

We are seeking a talented Machine Learning Engineer to join our Cambridge team. In this role, you will leverage your expertise in ML algorithms and data analysis to develop innovative solutions that drive our AI initiatives. The ideal candidate will be passionate about technology and able to work in a collaborative environment.

Responsibilities

  • Architect and develop scalable machine learning solutions.
  • Engage in exploratory data analysis to identify trends.
  • Integrate machine learning models into existing systems.
  • Propose innovative approaches for enhancing model accuracy.
  • Lead machine learning workshops for skill development.
  • Review literature to ensure our techniques are up to date.
  • Participate in hackathons and contribute to open-source projects.

Requirements

Education
  • Bachelor's degree in Software Engineering, Mathematics or related field
  • Master's degree is advantageous
Experience
  • 5+ years in machine learning development with a strong portfolio
Technical Skills
  • R
  • SQL
Soft Skills
  • Communication
  • Problem-solving
Certifications
  • Google Professional Machine Learning Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Python for Data Science certification.: Certification demonstrating expertise in Python for data analysis and machine learning.
  • Experience with NoSQL databases.: Skills in managing and querying NoSQL databases like MongoDB.

Benefits

  • Health insurance coverage for employees and dependents.
  • Generous vacation and leave policies.
  • Access to cutting-edge technology and tools.
  • Employee recognition programs and team-building events.

Company Culture

  • Professional Growth: We provide extensive learning opportunities to help our employees excel.
  • Work-Life Balance: We understand the importance of balance and offer flexible work options.
  • Community Engagement: We encourage our employees to give back to the community through various initiatives.
Status: Closed