AI/ML Engineer
Job Title: AI/ML Engineer – Data Science
Location: United Kingdom (Remote / Hybrid)
Eligibility: Permanent UK Citizenship required
Experience: 5–7 years (Mandatory in Data Science / AI-ML)
Role Overview
We 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.
Required Skills & Experience
Data Science & Deep Learning
- Strong hands-on experience in Deep Learning using PyTorch or TensorFlow.
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).
Cloud Platforms
- Hands-on experience with AWS or Azure environments.
MLOps & Deployment
Experience in:
- Model deployment and productionization
- Model governance and lifecycle management
- Version control tools such as Git
- CI/CD pipelines for ML workflows
Work Environment
- Prior experience working in a startup or high-growth environment is mandatory.
Eligibility Criteria
- Permanent UK Citizenship (mandatory).
- 5–7 years of relevant experience specifically in Data Science and AI/ML Engineering.
Preferred Attributes
- Strong problem-solving and analytical thinking.
- Ability to work independently in a remote or hybrid setup.
- Effective communication and collaboration skills.