Lead a high performing team of Machine Learning Engineers working alongside Software Engineers, Data Scientists, Data Engineers and Product Managers
Ensure delivery of high-quality machine learning models and AI Systems at scale that drive measurable impact for our business
Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance
Partner with stakeholders to propose innovative data products that leverage Trainline’s extensive datasets and state of the art algorithms
Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation

Requirements

Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline
Have leadership experience either through previous management or mentorship
Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)
Have experience productionising machine learning models
Are an expert in at least one of: predictive modelling, classification, regression, optimisation or recommendation systems
Have experience with Spark
Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow
Have experience with agile delivery methodologies and CI/CD processes and tools
Have a broad understanding of data extraction, data manipulation and feature engineering techniques
Are familiar with statistical methodologies.
Have good communication skills.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonPandasNumpyScikit learnmachine learning modelspredictive modellingclassificationregressionoptimisationrecommendation systems

Soft Skills

leadershipmentorshipcommunication

Certifications

advanced degree in Computer Scienceadvanced degree in Mathematicsadvanced degree in quantitative discipline