ML Software Engineer

Candidate has to be strong communication skills; Lifesciences industry experience is preferred

Must-have Skills Or Experiences

• Experience in building and applying ML (not hosted LLM) systems with frameworks such as PyTorch, TensorFlow, JAX
• Experience in building training data processing pipelines for image data
• Experience in in MLOps lifecycles (model training, model validation, model deployment, quality monitoring) *Though we would also consider similar experiences to the above, for instance building data processing pipelines for proteomics data instead of image data, etc.
• Python (excellent, required) - Software engineering best practices, the aim of writing high performant, modern, bug free code, proper documentation of code, unit-testing, code quality, etc. (required)
• PyTorch (required good working knowledge)

Desirable Skills Or Experiences

• TypeScript/Node/JavaScript (desirable)
• Experiment tracking platforms such as Weights & Biases, MLFlow (past experiences)
• Processing platforms, such as Kubeflow (optional)
• Computer Vision problems (recommended), e.g. experience with OpenCV (optional)
• Cloud computing infrastructure, in particular AWS (recommended
• Working in a regulated environment, developing code under pre-set regulatory rules (nice to have)