Machine Learning Engineer

Cambridge FULL TIME £45,000 - £65,000 / Year
(£3,750 - £5,417 / Month)

Job Description

We are on the lookout for a skilled Machine Learning Engineer to join our dynamic team in Cambridge. The ideal candidate will possess a strong background in developing and implementing machine learning models and algorithms. You will play a crucial role in enhancing our AI products while collaborating closely with data scientists and software engineers.

Responsibilities

  • Lead the development of innovative machine learning models for various applications.
  • Collaborate with product managers to define scope and deliverables.
  • Utilise tools like TensorFlow or PyTorch for model development.
  • Ensure that data privacy and security protocols are observed during data handling.
  • Contribute to a culture of continuous learning and knowledge sharing within the team.

Requirements

Education
  • Bachelor's degree in a STEM field
  • Master's degree in Machine Learning or Artificial Intelligence is preferred
Experience
  • 3+ years of experience in machine learning applications
Technical Skills
  • R
  • Keras
Soft Skills
  • Adaptability
  • Communication
Certifications
  • Machine Learning by Stanford University
  • Deep Learning Specialization by deeplearning.ai
Languages
  • English: Fluent

Advantageous

  • Experience with reinforcement learning:
  • Experience with Docker and Kubernetes: Knowledge of containerization technologies for deploying applications.

Benefits

  • Comprehensive health benefits (medical, dental, and vision)
  • Flexible working hours with potential remote work options
  • Employee wellness programs and counselling services
  • Continuous learning and training opportunities

Company Culture

  • Inclusivity: We promote a diverse and inclusive workplace, welcoming candidates from all backgrounds.
  • Team Spirit: We foster a supportive atmosphere where teamwork is at the heart of our operations.
  • Flexibility: Our company values work-life balance, offering flexible schedules and remote work options.
Status: Closed