Remote AI Engineer

Job Title: AI Engineer

Location : Edinburgh UK

Work mode : Hybrid

Experience: 8 + Years

Key Responsibilities:

Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production.

Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics.

Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring.

Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions.

Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications.

Drive data strategy , including data collection, preprocessing, and feature engineering.

Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments.

Mentor junior engineers and contribute to best practices in AI development.

Required Skills & Qualifications:

Strong proficiency in Python and AI/ML frameworks ( TensorFlow, PyTorch, Scikit-learn, Hugging Face ).

Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases) .

Deep understanding of neural networks, reinforcement learning, and generative models .

Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).

Strong knowledge of SQL/NoSQL databases and data engineering practices .

Soft Skills: Excellent problem-solving, communication, and leadership abilities.