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)
If you are interested in this role, apply now!
Keywords: Insurance, Lloyds of London, Financial Services, Power BI, SQL, Azure, DataBricks, Python, PySaprk, Spark, pytest, CI/CD, AKS, VCS, DataBricks
Eames Consulting is acting as an Employment Agency in relation to this vacancy.