Junior Machine Learning Engineer

Recraft
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Staff Machine Learning Engineer

Junior / Graduate Data Scientist

Data Scientist / AI Engineer

Junior / Graduate Data Scientist

Principal Data Engineer

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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.