Machine Learning Engineer

Cambridge FULL TIME £35,000 - £55,000 / Year
(£2,916 - £4,583 / Month)

Job Description

We are seeking a skilled Machine Learning Engineer who is passionate about artificial intelligence and data analytics. The successful candidate will play a pivotal role in developing machine learning models that enhance our technology stack. You will collaborate closely with other engineers and data scientists to refine and implement state-of-the-art algorithms. If you are a proactive problem solver with a strong foundation in machine learning, we want to hear from you.

Responsibilities

  • Develop predictive modelling algorithms and methods.
  • Participate in code reviews and contribute to team best practices.
  • Identify and address issues in data quality and model accuracy.
  • Assist in mentoring junior team members.
  • Contribute to team meetings and brainstorming sessions.

Requirements

Education
  • Bachelor's degree in Computer Science, Statistics, or similar
  • Master's degree is preferred
Experience
  • 5+ years of experience in machine learning or data science roles
Technical Skills
  • Python
  • Keras
  • Apache Spark
  • R
Soft Skills
  • Effective communication
  • Adaptability
Certifications
  • AWS Certified Machine Learning
  • Google Cloud Professional Machine Learning Engineer
Languages
  • English: Fluent

Advantageous

  • Familiarity with Natural Language Processing (NLP): Experience in applying NLP techniques for various applications.
  • Background in Computer Vision: Experience with computer vision techniques and frameworks.

Benefits

  • Wellness and mental health support programs
  • 401(k) plan with employer contributions
  • Annual performance bonuses
  • Collaborative and innovative work environment

Company Culture

  • Collaborative Team Spirit: We promote teamwork and collaboration, enabling our employees to thrive together.
  • Adaptability: Our culture embraces change and agility, encouraging innovative thinking.
  • Community Involvement: We engage with our local community and support various social initiatives.
Status: Closed