Machine Learning Engineer

trg.; Greater London; Hybrid; GBP 54,000 - 90,000; Full time

Job summary

trg. is seeking a hands-on Machine Learning Engineer to join a fast-growing tech team in London with remote options. You will build models used by major brands, training and evaluating in PyTorch, and collaborating with product and engineering to deploy solutions that deliver real value.

Ideal candidates have 3–5 years of ML experience, strong Python and PyTorch skills, and familiarity with NLP, CV or multimodal data. Expect a fast-paced, collaborative environment and meaningful impact.

Qualifications

• 3–5 years hands-on ML experience.
• Solid experience with PyTorch.
• Strong Python, NumPy, pandas and scikit-learn.
• Experience with at least one data type: text, images, video or tabular.
• Good Git, experiment tracking and reproducibility habits.
• NLP, computer vision or multimodal experience is a strong plus.

Responsibilities

• Build, train and evaluate models in PyTorch to solve prediction problems.
• Work with text, image and video data, using ML and DL techniques.
• Prepare datasets and feature pipelines for models.
• Run rigorous experiments and iterate towards better results.
• Collaborate with product and engineering to turn model outputs into value.
• Package and document models for deployment.

Skills

PyTorch

Python

NumPy

pandas

scikit-learn

Git

Experiment tracking

Reproducibility

NLP

computer vision

multimodal

Tools

Git

Experiment tracking tools

Job description

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