Data Engineer/ Data Scientist -AI/ML (LLM, Agentic AI, Python)
Role details
Job location
Tech stack
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