Social network you want to login/join with:
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 work closely with data scientists in a skills crossover methodology, contributing to the data science workflow, discussions, and development, while maintaining a key role in transitioning models from research into production.
The role of the Machine Learning Engineer
This role is ideal for someone passionate about using data science to influence decisions and eager to learn more about delivering value through data.
Key Responsibilities
* Ownership of the deployment framework for all data science services, overseeing data flow into the data science lifecycle from the wider business data warehouse.
* Automating the data science lifecycle (dataset build, training, evaluation, deployment, monitoring) for production environments.
* Understanding core data science principles and challenges in migrating research code into production.
* Collaborating closely with a team on all aspects of the data science and deployment lifecycle.
* Working with data scientists, data engineers, and other technical teams to support analytics maturity within the organization.
* Writing high-quality Python code following industry best practices for model training and deployment.
Required Skills
* Good knowledge of software engineering best practices.
* Experience with TDD (pytest or equivalent).
* Experience with cloud-native deployments (Azure preferred).
* Experience with Databricks, managed endpoints, AKS or similar.
* Experience with version control systems (VCS) and CI/CD pipelines.
* Ability to identify opportunities to apply machine learning to solve business problems.
* Experience in developing predictive and prescriptive analytics (modeling, machine learning, data mining).
* Graduate or postgraduate qualification in engineering, mathematics, physics, statistics, or equivalent experience.
* Experience in finance, insurance, or eCommerce is a plus but not required.
* Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas.
Our Technology
We are developing a new data platform in Databricks that consolidates all UK business unit data. The ML Engineer will leverage and extend this platform to provide comprehensive end-to-end data science services.
Rewards
* Competitive salary and benefits.
* 25 days annual leave plus two Hiscox days.
* Four-week paid sabbatical after every five years of service.
* Performance-related bonus and contributory pension.
* Additional benefits including Christmas gift, life insurance, and more.
About us
At Hiscox, we value our people and are committed to diversity and inclusion. We focus on key areas of expertise, encouraging innovation and challenging conventions to find better solutions.
#LI-EBI #LI-HYBRID
Join us and work with amazing people in a unique culture.
#J-18808-Ljbffr