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Full Stack Developer; AI​/ML Focus

Job in Penarth, Vale of Glamorgan, CF64, Wales, UK
Listing for: APBA TG HUMAN RESOURCE PTE. LTD.
Full Time position
Listed on 2026-06-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 45000 - 65000 GBP Yearly GBP 45000.00 65000.00 YEAR
Job Description & How to Apply Below
Position: Full Stack Developer (AI/ML Focus)

Key Responsibilities

  • Design and build scalable full stack applications from frontend to backend
  • Develop and integrate AI-powered features such as:
  • Conversational interfaces (chatbots)
  • Intelligent search or recommendations
  • Automation and decision-support systems
  • Work with APIs and microservices to connect AI services with application workflows
  • Collaborate with cross-functional teams including data scientists and product owners
  • Participate in system design, architecture discussions, and technical decision-making
  • Deploy and monitor applications in either cloud or on-prem environments
  • Write clean, maintainable, and well-documented code
  • Contribute to both Agile sprints or structured Waterfall phases as required
Technical Requirements
  • Degree in Computer Science, Software Engineering, or related discipline
  • 2–5 years of experience in full stack development
  • Strong frontend development skills:
  • JavaScript / Type Script
  • React, Angular, or Vue.js
  • Backend development experience:
  • Node.js, Python (FastAPI/Flask), or Java (Spring Boot)
  • Experience with databases:
  • Relational (PostgreSQL, MySQL) or No

    SQL (MongoDB)
  • Understanding of API design and integration (REST/JSON)
AI/ML Requirements
  • Basic to intermediate knowledge of machine learning concepts
  • Experience (project or professional) with:
  • AI/ML libraries (Tensor Flow, PyTorch, Scikit-learn), or
  • AI APIs (OpenAI, Azure AI, AWS AI)
Preferred Skills
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Familiarity with CI/CD pipelines and Dev Ops practices
  • Exposure to containerization (Docker, Kubernetes)
  • Experience working in Agile environments or structured SDLC (Waterfall)
  • Knowledge of security best practices and authentication mechanisms

Interested candidates, please send your CVs to

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

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