Eames is currently partnered with a global personal lines insurer who are recruiting a Machine Learning Engineer to join their new Data Science team and build a robust infrastructure to deliver data to, maintain, monitor and upgrade models and services.
This a hybrid role based in York and offers up to £70,000 in salary depending on experience, plus bonuses and benefits.
The job:
·Oversee the deployment framework for all data science services, ensuring smooth data flow from the business data warehouse.
·Manage the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) for production.
·Collaborate with data scientists, data engineers, and other technical teams to support the maturation of the analytics practice.
·Write high-quality Python code using industry best practices for model training and deployment.
The candidate:
·Strong Python programming skills and good knowledge of software engineering best practices, including TDD (pytest or equivalent) and CI/CD.
·Experience with cloud-native deployments (currently in Azure), Databricks, and managed endpoints (AKS or equivalent).
·Ability to apply machine learning to solve business problems and develop predictive and prescriptive analyses for key business insights.
- Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas (desirable)