Machine Learning Engineer
Role details
Job location
Tech stack
Job description
A travel technology company is looking for a Machine Learning Engineer II to enhance their marketing analytics. This role involves developing scalable systems, building data pipelines, and turning prototypes into production-ready solutions. Candidates should have strong..., A leading technology company based in the UK is seeking a Machine Learning Engineer II to enhance its marketing analytics capabilities. A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as...
Requirements
sampling, simulation, and regression frameworksBuild scalable data pipelines for experiment execution and analysisBuild flexible measurement tools, create reusable code libraries, and transform research prototypes into production-ready solutionsCollaborate with data scientists and software engineers to translate requirements and coordinate deployment of tools into productionExperience and qualifications Required:Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related technical field; or equivalent professional experienceProficient in Python, SQL, and PySpark for large-scale data processingExperience building scalable systems, preferably with ML/AI components in production environmentsExperience with automated testing and deployment practices, including version control, unit testing, and deployment pipelines (e.g. GitHub Actions)Understanding of system internals, including memory management, caching, and distributed computingExperience turning prototypes into production code and building flexible, reusable code frameworksFoundational knowledge in machine learning principles and statistical methodsDesirable:Familiarity with cloud platforms (AWS, GCP)Familiarity with open-source development practices and creating modular, adaptable toolsKnowledge of A/B testing methodologies, stratified sampling, and experimental design principlesAccommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.#J-18808-Ljbffr Similar jobs