Machine Learning Engineer

Cambridge FULL TIME £45,000 - £60,000 / Year
(£3,750 - £5,000 / Month)

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in Cambridge. In this role, you will be responsible for designing, implementing, and optimizing machine learning algorithms and models. You'll collaborate with data scientists and software engineers to develop innovative AI solutions that drive business results.

Responsibilities

  • Research and implement state-of-the-art machine learning techniques.
  • Collaborate with product teams to define project requirements and objectives.
  • Participate in meetings with stakeholders to present findings and recommendations.
  • Stay updated on the latest developments in machine learning and AI technologies.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Master's degree is preferred
Experience
  • 3+ years of experience in machine learning or a related field
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • Data Preprocessing
Soft Skills
  • Analytical thinking
  • Effective communication
  • Team collaboration
Certifications
  • Certified Machine Learning Specialist
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms (AWS or GCP): Familiarity with deploying models on cloud platforms for scaling and performance.
  • Knowledge of Big Data technologies (Hadoop or Spark): Experience working with Big Data frameworks for data processing and analysis.

Benefits

  • Competitive salary and performance bonus
  • Comprehensive health and life insurance
  • Flexible working hours and remote working options
  • Professional development opportunities

Company Culture

  • Innovation: We cultivate a culture of innovation, encouraging our engineers to explore new ideas and technologies.
  • Collaboration: Our teams thrive on collaboration, valuing input from all stakeholders to achieve the best outcomes.
  • Continuous learning: We support continuous learning and professional growth, offering resources for skill development.
Status: Closed