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Machine Learning Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Intellect Group
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 35000 - 45000 GBP Yearly GBP 35000.00 45000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Graduate Machine Learning Engineer Intellect Group | London, UK (Hybrid) | £35,000 – £45,000

Intellect Group is actively recruiting Graduate Machine Learning Engineers on behalf of high-growth technology and AI-first companies across the UK. If you've recently completed a degree in ML, Computer Science, or a related field and want to build real-world machine learning systems from day one, we want to hear from you.

We work with a range of exciting clients — from funded AI startups to established tech businesses — who are hiring junior ML talent right now. This is your chance to get in early, grow fast, and work on problems that matter.

What You’ll Be Doing
  • Designing, building, and deploying machine learning models into production environments
  • Working with LLMs, NLP, and deep learning frameworks to solve real business problems
  • Collaborating with data scientists and engineers to develop end-to-end ML pipelines
  • Experimenting with model fine‑tuning, RAG, and prompt engineering techniques
  • Contributing to model evaluation, testing, and continuous improvement
  • Staying current with the latest ML research and translating it into practical applications
What We’re Looking For
  • A degree (or Master’s) in Machine Learning, Computer Science, Mathematics, or a related discipline
  • Strong Python skills and familiarity with ML frameworks such as PyTorch, Tensor Flow, or Hugging Face
  • Understanding of core ML concepts: neural networks, transformers, classification, regression, and model evaluation
  • Some exposure to LLMs, generative AI, or NLP — whether through coursework, projects, or personal work
  • Curiosity, a problem‑solving mindset, and genuine enthusiasm for ML
  • Strong communication skills — you can explain what you’ve built and why it matters
Bonus Points For
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Familiarity with vector databases, embeddings, or RAG pipelines
  • Any open‑source contributions, Kaggle competitions, or personal ML projects
  • Exposure to MLOps tools and deployment workflows (Docker, FastAPI, etc.)
What’s on Offer
  • £35,000 – £45,000 base salary depending on experience
  • Roles across London and hybrid‑friendly companies
  • Fast‑moving environments where your work has real impact from the start
  • Clear career progression into mid‑level and senior ML engineering roles
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