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Junior Machine Learning Engineer

Methodfi

Greater London

On-site

GBP 35,000 - 45,000

Full time

Today
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Job summary

A tech-driven AI company in Greater London is seeking a Junior Machine Learning Engineer to work on real-world AI applications. You will collaborate with engineers and researchers, gaining hands-on experience in model development and data processing. The ideal candidate is currently pursuing a degree in a relevant field and has solid Python skills. This role offers mentorship and the chance to contribute to innovative AI projects in a fast-paced environment.

Benefits

Hands-on experience in AI and machine learning
Mentorship from experienced engineers
Collaborative and innovative environment

Qualifications

  • Currently pursuing a relevant degree in Computer Science or related field.
  • Reliable Python coding skills.
  • Knowledge of foundational deep learning concepts.
  • Experience with data preprocessing and model evaluation.
  • Familiarity with MLOps tools is a plus.
  • Strong analytical skills in a collaborative environment.

Responsibilities

  • Assist in training and evaluating machine learning models.
  • Support data collection for model development.
  • Conduct experiments to improve model accuracy.
  • Develop large-scale generative models.
  • Work with ML engineers to implement AI techniques.
  • Stay updated with AI trends and contribute ideas.

Skills

Python coding skills
Deep learning concepts
Data preprocessing
Analytical skills

Education

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, AI

Tools

MLOps tools
Job description
About Us

Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation.

We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we’re just getting started.

Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality.

If you’re passionate about pushing the boundaries of AI, we want you on board!

About the Role

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.

Key Responsibilities
  • 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.

Qualifications
  • 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.

  • Familiarity with MLOps tools is a plus.

  • Strong analytical skills and ability to work in a collaborative, fast-paced environment.

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.

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