AI Engineer

AI Engineer

x3 days a week in office

Xcede are delighted to be working with a brilliant FTSE 250 Financial organisation beloved by nearly half a million users. The company work on a truly global scale and processes millions of transactions & decisions every day.

Data is at the heart of the business, and in addition to pre-existing Data Scientists & Machine Learning Engineers, the organisation are looking to continue scaling their AI departments with a new AI Engineer.

The unit are responsible for building innovative AI (& specifically LLM led) tools for both internal stakeholders across various departments and their many customers.

Responsibilities

• Develop and deploy predictive models and algorithms for commercial projects with a particular focus on LLMs and RAGs.
• Collaborate with cross-functional commercial and business teams, to understand business requirements and identify opportunities for deploying statistical models.
• Building production level Machine Learning models and be hands on in deployment.
• Evaluating and select appropriate machine learning techniques and algorithms for solving commercial challenges.

Requirements

• Have a number of years of commercial experience in a Data Science role building statistical & machine learning models.
• Have built and deployed machine learning models in production.
• Excellent use of Python
• Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects.
• Deep understanding of model fine-tuning, evaluation metrics, and model deployment strategies in production environments.
• CI/CD & MLOps experience is valued
• Given the type of data involved - experience of implementing LLM Guardrails would be highly valued.

If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).