Data Engineer

Insight International (UK) Ltd; Bournemouth; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading technology firm in Bournemouth is seeking a Data Engineer with a focus on AIML and Python. The ideal candidate will develop solutions for test automation, utilize large language models, and work in Agile environments. Required qualifications include a Bachelor's degree in Computer Science, proficiency in Python, and hands-on experience with tools like Docker and Kubernetes. This full-time role requires excellent communication skills and offers a dynamic work environment.

Qualifications

• Bachelor’s degree or equivalent experience focused on Data Science & AIML.
• Strong proficiency in Python and large-language-model technologies.
• Hands-on experience with GitHub Copilot and Docker.

Responsibilities

• Develop AIML solutions for test automation in securities processing.
• Design solutions using large language models and RAG techniques.
• Create production-grade solutions with Docker and Kubernetes.

Skills

Proficiency in Python

Experience with AIML technologies

Hands-on with GitHub Copilot

Knowledge of Docker and Kubernetes

Experience with Agile methodologies

Strong communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

React

Job description

Data Engineer – AIML, LLM & Python – Bournemouth, UK

Location: Bournemouth, UK
Working arrangement: 5 days in client office
Employment type: Full‑time, FTE/FTC (not contractor)
Start: ASAP

Responsibilities

• Develop and implement AIML solutions for test automation in the securities processing domain, including test generation, test prioritization, defect triage/reporting, code coverage, and framework migration/setup.
• Design and deploy solutions using large language models (GPT, Claude) and Retrieval Augmented Generation techniques.
• Create production‑grade solutions with Docker and Kubernetes; optionally build front‑end components in React.
• Utilize GitHub Copilot and Python libraries (NLTK, NumPy, Scikit‑learn, Pandas) for model building, training, fine‑tuning, and integration.
• Apply machine‑learning algorithms (regression, classification, decision trees, KNN, K‑means) to improve testing processes.

Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent experience, with demonstrated Data Science & AIML focus on quality assurance.
• Strong proficiency in Python and large‑language‑model technologies.
• Hands‑on experience with GitHub Copilot, Docker, Kubernetes, and React builds.
• Knowledge of AIML algorithms and experience building, training, and fine‑tuning models.
• Understanding of software‑testing lifecycles, automation frameworks, and SQL.
• Experience working in Agile environments (sprint planning, backlog refinement, retrospectives).
• Excellent verbal and written communication skills, able to convey technical concepts to business stakeholders.

Seniority Level

Mid‑Senior