Role : Data Engineer with AIML(LLM, Agentic AI) & Python experience
Location : Bournemouth, UK
Domain : Banking
Mode of Employment : FTE/FTC
5 days/week onsite
Data Engineer with AIML(LLM, Agentic AI) & Python experience
* AIML, Machine Learning & Data Science.
* Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation.
* Agentic AI, CoPilot, MCPs.
* AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means)
* Python (NLTK, NumPy, Scikit-learn, Pandas)
Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions for Test Generation, Test Prioritization, Defect Triage/Reporting, Code Coverage, Framework Migration/Setup. The role requires experience in AIML(LLMs, Gen AI & Agentic AI) & Python.
The role will require proficiency in all aspects of AIML & Software Development including:
* Knowledge of AIML & Python is must.
* Ability to develop and implement Generative AI & Retrieval Augmented Generation solutions focused on software testing.
* Experience with Large Language Models(GPT, Claude).
* Hands- on experience with GitHub Copilot.
* Must be a regular user of Agentic AI solutions and MCPs.
* Deployment experience with Docker & Kubernetes to deploy the AIML solutions is good to have.
* Front End experience in React to build front end for the AIML solutions is a plus.
* Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas).
* Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred.
* Experience with building, training & finetuning AIML models is a plus.
* Bachelor's degree in Computer Science or related field of study or equivalent relevant experience; demonstrated experience of Data Science & AIML with focus on quality assurance solutions.
* Lifecycle principles and quality assurance processes and methodologies.
* Experience with automated testing with good understanding of test automation frameworks.
* Good grasp of SQLs.
* Experience of working in an Agile environment, participating in sprint planning, backlog refinement, and retrospectives.
* Must have excellent verbal and written skills being able to communicate effectively on both a technical and business level.