Junior AI and ML Engineer
About QBYSSQBYSS is a UK-based power conversion technology company on a mission to replace legacy power architectures with programmable, software-defined solutions.
Our patented technologies combine advanced power electronics with QBYSS Digital Power software for real-time control. We’re developing compact, highly efficient and reliable power solutions that use fewer components, reduce wasted electricity and help extend product lifespans.
From everyday lighting to data centres, electric vehicles and demanding industrial applications, our ambition is to help power an increasingly electrified world with less energy waste and a smaller environmental footprint.
About the roleHelp QBYSS explore practical applications of machine learning in research, data analysis and internal workflows. You’ll build small prototypes, evaluate their performance and work with colleagues to decide where AI adds measurable value.
What you’ll do· Prepare and clean approved datasets for experiments and analysis.
- Build and compare baseline models for clearly defined business problems.
- Evaluate results against agreed metrics and document limitations.
- Develop small Python prototypes and integrate approved AI services where useful.
- Work with colleagues to assess usefulness, data handling and ongoing maintenance.
What we’re looking for· Working knowledge of Python and basic machine learning concepts.
- Understanding of training, validation, overfitting and model evaluation.
- Relevant coursework or projects using data and machine learning libraries.
- Ability to explain findings clearly and investigate unexpected results.
Useful but not essential· Experience with pandas, scikit-learn, PyTorch or TensorFlow.
- Exposure to LLM APIs, information retrieval or model deployment.
Why join QBYSSBuild practical AI skills while learning how to evaluate whether a solution delivers useful results.
Recent graduates and early-career applicants are encouraged to apply.