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Machine Learning Engineer

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Onsite

Machine Learning Engineer

trg.recruitment

Machine Learning Engineer

Skills

Deep LearningPythonNumPypandasPyTorchMachine LearningNLP / Natural Language Processing

22 days ago

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Important information


Contract type:

Permanent

Location:

United Kingdom

Work mode:

Onsite

Published on:

28 September 2026

What they need


Machine Learning Engineer

London (Remote) | Up to £90,000 | Two Stages

The company

Our client is a fast-growing technology company in the marketing and advertising space. Their platform helps some of the world's biggest brands predict and improve the impact of their marketing. It's an industry going through huge change, and this team is at the centre of it.

The role

You'll join an empowered product team as a hands-on Machine Learning Engineer, working alongside Product Managers, Engineers and Data Scientists. You'll build the models behind a product used by major global brands, and see your work go into production and make a real difference to customers.

What you'll be doing

  • Building, training and evaluating models in PyTorch to solve real prediction problems
  • Working with text, image and video data, using anything from classic ML to deep learning and LLMs
  • Preparing datasets and building the features and pipelines your models need
  • Running rigorous experiments and iterating quickly towards better results
  • Working with product and engineering colleagues to turn model outputs into product value
  • Packaging and documenting models so they can be handed to engineering for deployment

What you'll bring

  • Around 3 -5 years of hands-on machine learning experience
  • Solid experience building and training models with PyTorch
  • Strong Python skills and comfort with NumPy, pandas and scikit-learn
  • In-depth experience with at least one data type: text, images, video or tabular
  • Good habits around Git, experiment tracking and reproducibility
  • NLP, computer vision or multimodal experience is a strong plus

If interested, please apply or contact me directly at [email protected]

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