Data Engineer

UNITING PEOPLE LTD; Bournemouth; On-site; GBP 80,000; Full time

Job summary

A recruitment agency in the tech sector is seeking a Data Engineer with expertise in AIML and Python in Bournemouth. The ideal candidate will develop AIML solutions for test automation, build solutions for test generation, and work with tools such as Docker and Kubernetes. A Bachelor's degree in Computer Science or a related field is required, along with excellent communication skills and knowledge of AIML algorithms. This is a full-time role with a competitive salary.

Qualifications

• Knowledge of AIML and Python is essential.
• Experience with Generative AI for software testing.
• Hands-on experience with GitHub Copilot is required.
• Ability to deploy AIML solutions using Docker & Kubernetes is good to have.
• Bachelor's degree or equivalent experience in a related field is necessary.

Responsibilities

• Develop and implement AIML solutions for test automation.
• Build AIML solutions for test generation and defect reporting.
• Utilize knowledge of AIML and software development.
• Deploy AIML solutions using Docker & Kubernetes.
• Develop front-end components for AIML solutions using React.

Skills

AIML

Python

Generative AI

Retrieval Augmented Generation

Docker

Kubernetes

React

GitHub Copilot

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

NLTK

NumPy

Scikit-learn

Pandas

Job description

Overview

Location: Bournemouth

Working pattern: 5 Days ONSITE

Employment type: FTE / FTC - £80k

Start Date: ASAP

Role

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.

Responsibilities

• 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).

Qualifications & Requirements

• 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 GitHub 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, NumPy, 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.

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