Machine Learning Engineer (London)

This range is provided by Intellect Group. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Direct message the job poster from Intellect Group

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?

Were looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. Youll spend part of your time collaborating in person with engineers and data scientists, and part working remotely giving you the best of both worlds.

Youll be working on a platform that transforms unstructured private market data into actionable insights learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production.

In this role, youll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, youll gain hands-on experience across the machine learning lifecycle while contributing to a product used by real-world clients.

Whats in it for you?

AI That Matters Work on models that make sense of unstructured financial documents and turn them into structured insights.

Hands-On ML Experience Learn the full ML workflow from cleaning data to deploying models and monitoring them in production.

Mentorship & Growth Work closely with experienced ML engineers who will guide your technical and career development.

Collaborative Environment Pair with engineers, data scientists, and domain experts to solve real-world challenges.

Hybrid Flexibility Balance focused remote work with in-person collaboration at our office.

What Were Looking For:

• 02 years of experience in machine learning, applied AI, or data science (personal projects and internships count!)
• Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers
• Understanding of basic ML concepts and data preprocessing techniques
• Interest in NLP, unstructured data, and information extraction
• Eagerness to learn, take feedback, and contribute to a collaborative team

Nice to Have:

• Experience with SQL/NoSQL databases
• Familiarity with MLOps tools (Docker, Git, CI/CD)
• Exposure to vector databases or semantic search
• Knowledge of financial datasets or document processing workflows

If youre excited to grow your skills in machine learning and work on technology that helps people understand complex data wed love to hear from you.

Apply now and start your journey building the future of data-driven insight.

• Seniority level
  Entry level

• Employment type
  Full-time

• Job function
  Science
• Industries
  Staffing and Recruiting

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