Machine Learning Engineer

Overview

We are looking for an experienced machine learning engineer to join a newly formed data science team. You will have the opportunity to shape the data science delivery pipeline by building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor and upgrade core data science services in both Azure’s native platform and in databricks. You will be working closely with data scientists in a skills crossover methodology, and will contribute to the data science workflow, discussions and development, but still maintain a key function in the graduation of models from research into production.

Key Responsibilities

• 
  
• Ownership of the deployment framework for all data science services. You will have oversight of how data will flow into the data science life cycle from the wider business data warehouse.
  
• Oversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to production.
  
• Good understanding of core data science principles and understanding of challenges of migrating research code into production code.
  
• Interest and ability to work closely with a team and collaborate on all aspects of the data science and deployment lifecycle.
  
• Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the organization.
  
• Writing high quality Python code using industry best practice for model training and deployment.
  

Required Skills

• 
  
• Strong Python programming skills.
  
• Good knowledge of software engineering best practice.
  
• Experience with TDD (pytest or equivalent).
  
• Experience with cloud native deployments (currently in Databricks and Azure).
  
• Experience with Databricks.
  
• Experience with managed endpoints, AKS or equivalent.
  
• Experience with VCS.
  
• Experience with CI/CD.
  
• Understanding / identifying opportunity to apply machine learning knowledge to solve business problems.
  
• Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience.
  

Desirable Skills

• 
  
• Graduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics.
  
• Experience of data science in finance, insurance or Ecommerce is an advantage but not required.
  
• Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas.
  

#J-18808-Ljbffr