Machine Learning Engineer

Trg Talent — United Kingdom · Posted ~4 hours ago

Mid Full-time Remote

Skills

machine learning PyTorch model development data pipelines feature engineering Python LLMs

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Summary ✨ AI‑Generated

A machine learning engineering role focused on developing predictive models, experimenting with advanced techniques, preparing datasets, and deploying AI solutions that create measurable business value.

Highlights

Build production machine learning solutions, work with diverse data types, and collaborate with product and engineering teams on impactful technology.

Description

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 problemsWorking with text, image and video data, using anything from classic ML to deep learning and LLMsPreparing datasets and building the features and pipelines your models needRunning rigorous experiments and iterating quickly towards better resultsWorking with product and engineering colleagues to turn model outputs into product valuePackaging 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 experienceSolid experience building and training models with PyTorchStrong Python skills and comfort with NumPy, pandas and scikit-learnIn-depth experience with at least one data type: text, images, video or tabularGood habits around Git, experiment tracking and reproducibilityNLP, computer vision or multimodal experience is a strong plus If interested, please apply or contact me directly at mmatysik@trg-uk.com