Machine Learning Engineer

Cambridge Full-Time £35,000 - £50,000 / Year
(£2,917 - £4,167 / Month)

Job Description

We are seeking a talented Machine Learning Engineer to join our vibrant team in Cambridge. The ideal candidate will possess strong skills in machine learning, data mining, and statistical analysis. You'll have the opportunity to work on exciting projects that will leverage artificial intelligence to deliver impactful solutions for our clients.

Responsibilities

  • Lead the development of innovative machine learning solutions.
  • Engage with stakeholders to define project requirements and outcomes.
  • Review code and mentor junior engineers to promote best practices.
  • Coordinate with other teams to ensure seamless integration of AI solutions.
  • Analyze data to discover trends and insights to inform the product roadmap.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • PhD in AI or Data Science is a significant advantage
Experience
  • 5+ years of experience in machine learning or data science roles
Technical Skills
  • Machine Learning Algorithms
  • Data Visualization
Soft Skills
  • Team Leadership
  • Time Management
Certifications
  • Google Professional Data Engineer
  • Machine Learning by Stanford University (Coursera)
Languages
  • English: Fluent

Advantageous

  • Experience with Natural Language Processing: Background in NLP techniques and libraries such as NLTK or SpaCy.
  • Familiarity with Reinforcement Learning: Understanding of reinforcement learning paradigms applicable to real-world scenarios.

Benefits

  • Health insurance with dental and vision coverage
  • Annual performance bonus eligibility
  • Paid time off for volunteering activities
  • Retirement savings plan with company match

Company Culture

  • Continuous Improvement: We promote a culture of constant learning and professional growth.
  • Work-Life Balance: We understand the importance of balancing work commitments with personal life.
  • Community Engagement: We actively participate in community initiatives and encourage team involvement.
Status: Closed