Python GEN AI LLM Developer - Enterprise/AI - Investment Bank £750 -£925 p/d

Python and strong attitude are core requirementsProven track record of Python3+ and Django, fastAPI The core platform is a Web Application built in Python and React/TypeScript. Knowledge of Kubernetes and Docker Familiar with CI/CD processes nominally Jenkins, Ansible Competent DB/SQL skills Knowledge of Machine Learning - Model Testing, popular ML Libraries etc. Excellent analytical skills with the ability to translate technical concepts and provide specialist guidance and advice to others. Ability to work with individuals to set individual objectives and manage performance to ensure their delivery. Ability to liaise with stakeholders to act as bridging point

ROLE

To work as a developer in the Generative AI team which is split between London and Lisbon Participate in an agile based software development life cycle including technical analysis, documentation, development, testing, code reviews and working with infrastructure teams as needed. Supporting the Generative AI platform service and ensuring it's availability and continuous improvement to new language models and techniques and use cases. Proactively manage all issue facing the team - technical, functional or organisational.

Background in C#, Java, .NET or Enterprise language. Understand Dev Ops, Kubernates, Monitoring tools, API
Experience - Blue chip/Investment Banking ideally but solid dev experience in a large corporation building apps could work.

Prior experience of operating in a complex and diverse IT environment systems. Results orientated with a clear understanding of how the results impact the business counterparts.

Person will need to know how to Productionise models, moneterise applications.
Seeking enterprise python engineering skills 10-15 years ideally,

This role offers hybrid working 50% and is inside IR35 Umbrella

Job ref:ADL3265

Adlam Consulting operates as an Employment Agency & an Employment Business Applicants must be eligible to work in the specified location