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Machine Learning Engineer
2 months ago
Xcede's Data-driven Insurance Client
Xcede's Data-driven Insurance client is a leading organisation in the field of Data Science, Machine Learning Engineering, and MLOps. They are seeking a highly skilled Machine Learning Engineer to join their AI unit.
About the Role
The successful candidate will be responsible for building and deploying production-level ML models for a breadth of commercial projects. This role is end-to-end focused, requiring the ability to develop, deploy, and evaluate machine learning models.
Key Responsibilities
- Develop and deploy predictive models and algorithms for commercial projects, with a particular focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAGs).
- Collaborate with cross-functional commercial and business teams to understand business requirements and identify opportunities for deploying statistical models.
- Build production-level Machine Learning models and be hands-on in deployment.
- Evaluate and select appropriate machine learning techniques and algorithms for solving commercial challenges.
Requirements
To be successful in this role, the candidate will need:
- A number of years of commercial experience in a Data Science role building statistical & machine learning models.
- Experience in building and deploying machine learning models in production.
- Excellent use of Python programming language.
- Particular experience in NLP, LLMs, and RAGs is highly prized given the focus on these projects.
- CI/CD & MLOps experience is valued.
- Databricks experience is valued.
About Xcede
Xcede is a leading organisation in the field of Data Science, Machine Learning Engineering, and MLOps. They have been building commercially successful Data Science products for years and are now pushing further into Generative AI with multiple LLM-based projects in production across the company.