Machine Learning Engineer
4 weeks ago
About the Role
We are seeking an experienced Machine Learning Engineer to join our newly formed data science team at Hiscox. As a key member of the team, you will be responsible for building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor, and upgrade core data science services in Azure and Databricks.
Key Responsibilities
- Ownership of the deployment framework for all data science services.
- 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 to support the maturation of analytics practice within the organization.
- Writing high-quality Python code using industry best practice for model training and deployment.
Requirements
- Strong Python programming skills.
- Good knowledge of software engineering best practice.
- Experience with TDD (pytest or equivalent).
- Experience with cloud-native deployments (currently in Azure).
- Experience with Databricks.
- Experience with managed endpoints, AKS, or equivalent.
- Experience with VCS.
- Experience with CI/CD.
- Understanding of identifying opportunities to apply machine learning knowledge to solve business problems.
- Experience in developing predictive and prescriptive analysis (predictive modeling, machine learning, or data mining) used to draw key business insights and clearly articulate findings for the target audience.
About Us
At Hiscox, we care about our people. We hire the best people for the job and are committed to diversity and creating a truly inclusive culture, which we believe drives success. As an international specialist insurer, we are far removed from the world of mass insurance products, selectively focusing on key areas of expertise and strength, all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way.
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