Data Engineer

Overview

Location:

Bournemouth

Working pattern: 5 Days ONSITE

Employment type:

FTE / FTC - £80k

Start Date:

ASAP

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, Num Py, 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.

• Develop and implement AIML solutions for test automation in the securities processing space.
• Build AIML solutions for test generation, test prioritization, defect triage/reporting, code coverage, and framework migration/setup.
• Utilize knowledge of AIML & Python across all aspects of AIML & software development.
• Deploy AIML solutions using Docker & Kubernetes (preferred).
• Develop front-end components for AIML solutions (React) (nice to have).

• Knowledge of AIML & Python is must.
• Experience with Generative AI & Retrieval Augmented Generation for software testing.
• Experience with Large Language Models (GPT, Claude).
• Hands-on experience with Git Hub Copilot.
• Must be a regular user of Agentic AI solutions and MCPs.
• Experience with Docker & Kubernetes to deploy 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, Num Py, Scikit-learn, Pandas.
• AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) preferred.
• Experience with building, training & fine-tuning 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.
• Understanding of lifecycle principles and quality assurance processes and methodologies.
• Experience with automated testing and test automation frameworks.
• Good grasp of SQLs.
• Experience in an Agile environment, participating in sprint planning, backlog refinement, and retrospectives.
• Excellent verbal and written communication skills for technical and business audiences.