Data Engineer/ Data Scientist -AI/ML (LLM, Agentic AI, Python)

KBC Technologies UK LTD
Bournemouth, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Bournemouth, United Kingdom

Tech stack

Testing (Software)
Agile Methodologies
Artificial Intelligence
Automation of Tests
Github
Python
Machine Learning
NLTK
NumPy
Scrum
Systems Development Life Cycle
SQL Databases
React
Large Language Models
Generative AI
Pandas
Scikit Learn
Kubernetes
Information Technology
Front End Software Development
GPT
K Means
Docker

Job description

Our client who is a global IT-services & consulting firm is seeking a highly skilled Data Engineer with strong AI/ML, LLM and Python experience to join their technology team in Bournemouth. This is a hands-on role focused on designing and delivering next-generation AI/ML solutions for test automation within the Securities Processing domain.

You will work closely with engineering and QA teams to build intelligent automation capabilities including AI-driven test generation, test prioritisation, defect triage/reporting, coverage analysis and automation framework enablement., * Develop and implement AI/ML, LLM and Generative AI solutions to enhance software testing processes.

  • Build RAG (Retrieval Augmented Generation) systems and advanced automation workflows.
  • Design and deploy Agentic AI solutions, including CoPilot/MCP-based workflows.
  • Engineer, train and fine-tune models for test automation use cases.
  • Create scalable, production-ready AI pipelines using Python & ML libraries.
  • Collaborate within an Agile team and contribute to sprint planning, refinement and retrospectives.
  • Build dashboards/UI components using React (nice-to-have).
  • Deploy solutions using Docker/Kubernetes (good-to-have).

Requirements

  • Strong expertise in AI/ML, LLMs (GPT, Claude) and Generative AI.
  • Proven experience with Agentic AI tools, GitHub Copilot, MCPs.
  • Advanced Python skills - NLTK, NumPy, Pandas, Scikit-learn.
  • Good understanding of AI/ML algorithms (Regression, Classification, Decision Trees, KNN, K-Means).
  • Experience developing AI-enhanced test automation solutions.
  • Solid grasp of SQL.
  • Strong understanding of SDLC, QA processes & automation frameworks.
  • Excellent written and verbal communication skills.

Desirable Skills

  • Experience deploying apps using Docker & Kubernetes.
  • Front-end experience with React.
  • Experience training or fine-tuning ML/LLM models., * Bachelor's degree in Computer Science or related field
  • OR equivalent industry experience demonstrating strong Data Science / AI / ML capability., * Algorithms
  • Artificial Intelligence
  • Machine Learning
  • Python
  • Data Engineer
  • Generative AI
  • Large Language Model
  • Retrieval Augmented Generation
  • Agentic AI solutions
  • test prioritisation

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