jazzhr
Machine Learning Engineer
System1 Group
GBR
Full-time
Mid · 3+ years experience
Hybrid
Discovered 2 weeks ago
PyTorchPythonNumPypandasscikit-learnGit
Free
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PyTorchPythonNumPy
Key Skills for This Role
PyTorchPythonNumPypandasscikit-learnGit
Full Job Posting
- Are you energised by building models that solve real customer problems, not just chasing benchmarks?
- Are you already comfortable in PyTorch and keen to go deeper, learning new architectures and techniques as the field moves?
- Are you motivated by getting models into products and seeing the impact, rather than research for its own sake?
- Build, train and evaluate machine learning models in PyTorch to solve prediction problems across our Ad, Brand and Innovation products.
- Work with text, image and video data, applying the right approach, from classic ML through modern deep learning and LLMs.
- Prepare and explore datasets, building the features and pipelines your models need to perform reliably.
- Run rigorous experiments, measuring model quality with the right metrics and iterating quickly towards better results.
- Partner closely with Product Managers, Data Scientists and Engineers to frame problems and turn model outputs into real product value.
- Package and document your models so they can be handed cleanly to our engineering team for deployment.
- Keep your work reproducible and well-documented so others can understand and build on it.
- Stay curious about new tools and techniques, bringing what you learn back to the team.
- Contribute to a culture of good ML practice as the team and its capabilities grow around you.
- Pragmatic. You reach for the simplest approach that solves the problem, and you know when a heuristic beats a heavyweight model.
- Keen to learn and grow. You actively seek out new techniques, feedback and challenges, and you get better fast.
- Outcome-driven. You measure success by the impact your models have for customers and the business, not by model complexity.
- Rigorous. You care about sound evaluation, clean data, and results you can trust.
- Comfortable with ambiguity. You can take a loosely defined problem and shape it into something you can model.
- A natural collaborator, comfortable working with data scientists, engineers and product people at all levels.
- Curious about the problem domain and interested in how advertising and brands work, or excited to become so.
- Honest about what the data and models can and can’t do, and able to communicate that clearly.
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