Machine Learning Engineer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-13
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
Job Description & How to Apply Below
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
- 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
- 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.)
- £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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