Key skills
AWSCloudNumpyPandasPySparkPythonScikit-LearnSQLMLLLMscikit-learnNumPyMLOpsFastAPIGitHubVersion ControlJira
About this role
Role Overview
- Work with the product team, end users and engineers to identify and understand the problems we need to solve
- Work with other experts to identify feasible solutions to those problems that meet business needs
- Develop production ready models in areas such as Optimising programmatic auction bids
- Understanding the content where adverts are being served
- Moderating content to ensure it is safe for kids and teens
- Categorising content so we analyse it quantitatively and infer our audiences
- Predicting what categories will improve advertising performance or brand lift
- Identifying audience clusters from survey and performance data
- Test and validate the models and monitor and maintain them once live
Requirements
- Experienced with Python
- SQL
- and query optimisation
- Data manipulation eg Pandas, Numpy
- Quantitative degree or equivalent experience
- Standard ML algorithms eg Scikit-learn
- Statistics
- Curiosity
- Strong pure mathematics
- Bayesian modeling
- Causal inference
- Post graduate degree
- Interests in behaviour, psychology or advertising
- Experience in adtech, martech, marketing or advertising
- Experience with survey data or brand lift studies
- Experience building models for internal or business facing products
- Able to communicate what you are doing to a wide audience
- Full ML model lifecycle experience
- Programmatic use of LLMs
- LLM fine tuning
- Working with big data tools eg pySpark or similar
- Github or similar version control
- Jira or similar workflow management
- Using Cloud platform ideally AWS
- Clean modular code with tests
- APIs eg FastAPI
- MLOps experience
Tech Stack
- AWS
- Cloud
- Numpy
- Pandas
- PySpark
- Python
- Scikit-Learn
- SQL
Benefits
- Flexible working arrangements
- Professional development opportunities