Full-Time Senior Machine Learning Engineer

Publift's Data Science team are looking for a senior machine learning engineer to accelerate the implementation of novel machine learning products. You will be heavily involved in architectural and product design decision making and have a real impact on our customer's businesses.

What the day to day will look like:

1. Designing and implementing end-to-end pipelines for model training, evaluation, and deployment.
2. Automating a test framework for a suite of machine learning models. This may include:
   • Developing integration and regression tests for ML components and data pipelines.
   • Monitoring model performance and data drift using automated validation tools.
   • Building tools to simulate edge cases, production-like scenarios, and adversarial conditions.
   • Operationalising and benchmarking shadow deployments to validate challenger model performance. This includes defining criteria for model promotion or rollback.
3. Contribute to the research and development of new use cases or extend challenger models.

We are looking for someone who can:

• Experience delivering methods/techniques/technologies that improve the speed at which we deliver new models.
• Experience proposing and delivering solutions and strategies that can tackle challenges within our ecosystem and demonstrate ways to iterate upon them.
• You can explain why a model is behaving the way it does and introduce challengers to account for these situations. Additionally, you can communicate the implications for the business/product.
• You can communicate complex situations concepts clearly to both technical and non-technical stakeholders, articulating trade-offs and decision rationale.
• Demonstrated extensive knowledge of ML system design, from feature engineering to model selection and performance optimisation.
• Demonstrated ability to deploy rigorously tested challengers and define measurements of comparison with incumbents.
• Strong understanding of ML lifecycle, from data preprocessing to deployment and monitoring.
• Strong foundation in statistics, proficiency in Python and common ML frameworks and experience working with cloud platforms and containerised environments.

What is the last date for applying to the job?

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