Machine Learning Engineer

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

Job Description

We are looking for a talented Machine Learning Engineer to join our team in Cambridge. In this role, you'll design and implement machine learning algorithms and models to solve real-world problems. You will work closely with data scientists, software engineers, and product managers to drive the development of innovative AI solutions.

Responsibilities

  • Research and apply state-of-the-art machine learning methodologies.
  • Collaborate across teams to align AI initiatives with business goals.
  • Utilize data visualization tools to present findings to stakeholders.
  • Contribute to intellectual property and patent submissions as needed.
  • Participate in technical discussions and workshops to enhance team skills.

Requirements

Education
  • Bachelor's degree in a quantitative field (Computer Science, Engineering, etc.)
  • Ph.D. in a relevant field is a plus
Experience
  • 5+ years of experience in machine learning or related fields
Technical Skills
  • R
  • Deep Learning
  • Data Visualization
Soft Skills
  • Problem-solving
  • Adaptability
Certifications
  • Certified Machine Learning Engineer
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Hands-on experience with cloud infrastructures: Experience deploying machine learning models on AWS or Azure.
  • Knowledge of reinforcement learning: Familiarity with reinforcement learning methodologies and applications.

Benefits

  • Comprehensive health insurance and pension contributions
  • Generous holiday allowance
  • Flexible working arrangements
  • Employee training programs and workshops

Company Culture

  • Continuous Learning: We encourage continuous learning and provide resources for employee development.
  • Celebrating Achievements: We celebrate our successes as a team and recognize individual contributions.
  • Community Engagement: We believe in giving back and encourage employee participation in community initiatives.
Status: Closed