AI/ML Engineer
Job in
Belfast, County Antrim, BT1, Northern Ireland, UK
Listed on 2026-02-28
Listing for:
Idyllic Services
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Location: United Kingdom (Remote / Hybrid)
Experience: 5–7 years (Mandatory in Data Science / AI-ML)
Role OverviewWe are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands‑on experience in model development, NLP, cloud platforms, and production‑grade deployment, along with prior exposure to fast‑paced startup environments.
Key Responsibilities- Design, build, and optimize machine learning and deep learning models for real‑world applications.
- Develop and deploy AI/ML solutions using modern Python‑based frameworks.
- Implement NLP models and solutions for structured and unstructured data.
- Build and maintain production‑ready ML pipelines, ensuring scalability and reliability.
- Collaborate with cross‑functional teams including engineering, product, and data teams.
- Ensure proper model governance, versioning, and CI/CD practices for ML workflows.
Data Science & Deep Learning
- Strong hands‑on experience in Deep Learning using Py Torch or Tensor Flow
.
Programming & Frameworks
- Proficiency in Python
. - Experience with web/API frameworks such as Django
, Flask
, or FastAPI
.
AI & NLP
- Practical experience in Artificial Intelligence and Natural Language Processing (NLP).
- Hands‑on experience with AWS or Azure environments.
MLOps & Deployment
- Experience in model deployment and productionization.
- Experience in model governance and lifecycle management.
- Experience with version control tools such as Git.
- Experience with CI/CD pipelines for ML workflows.
- Prior experience working in a startup or high‑growth environment is mandatory.
5–7 years of relevant experience specifically in Data Science and AI/ML Engineering
.
- Strong problem‑solving and analytical thinking.
- Ability to work independently in a remote or hybrid setup.
- Effective communication and collaboration skills.
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