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Junior Machine Learning Engineer

Recraft

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

As a Junior Machine Learning Engineer at Recraft, you will have the opportunity to work on real-world AI applications, gaining hands-on experience in model development, data collection, evaluation, and production deployment. You will collaborate with research scientists, engineers, and product teams to help enhance Recraft’s AI-driven creative tools. If you are passionate about machine learning, deep learning, and AI-driven applications, this is a great opportunity to learn and contribute to impactful projects.

Job Responsibility:

  • Assist in training, testing, and evaluating machine learning models for real-world applications
  • Support data collection and processing for model development
  • Conduct experiments and model evaluations, helping improve accuracy and efficiency
  • Develop and train large-scale generative models, pushing the boundaries of AI capabilities
  • Work closely with ML engineers and researchers to implement AI techniques into production workflows
  • Stay updated with the latest trends in AI and deep learning, contributing fresh ideas to the team

Requirements:

  • Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, AI, or a related field
  • Reliable Python coding skills
  • Knowledge and understanding of foundational deep learning concepts, possibly in application to computer vision, NLP, or speech synthesis or recognition
  • Experience with data preprocessing and model evaluation
  • Strong analytical skills and ability to work in a collaborative, fast-paced environment

Nice to have:

Familiarity with MLOps tools is a plus

What we offer:
  • Hands-on experience in AI and machine learning
  • Mentorship from experienced ML engineers and researchers
  • The opportunity to work on real-world AI projects in a growing tech company
  • A collaborative and innovative environment

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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