ABOUT YOU
You are a hands-on data professional who enjoys taking machine learning solutions from idea to production. You thrive in collaborative, fast-paced environments, like diving deep into data, and are motivated by building scalable, reliable, and impactful ML-driven products across the full lifecycle.
WHAT ARE YOU GOING TO DO
- Develop, maintain, and optimize machine learning models and data pipelines
- Refactor existing code, improve model performance, and streamline pipelines
- Combine and analyze complex datasets to create high-quality model inputs
- Write production-ready code to deploy and operationalize ML models
- Collaborate with engineers and stakeholders in a DevOps-oriented setup
AN IDEAL PROFILE WOULD BE
- 4+ years of experience as a Data Scientist or 6+ years as a Machine Learning Engineer
- Strong expertise in machine learning and statistical modeling, including tree-based and clustering models
- Hands-on experience with production-ready coding in Python and PySpark
- Experience with MLOps/DevOps, model deployment, monitoring, and pipeline optimization
- Familiarity with Databricks, cloud platforms (preferably Azure), and CI/CD practices
Tick all the boxes? Then smash that button and let’s have a chat.
ABOUT US:
Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.