Remote AI Engineer

Salary: £31,500 - 59,500 per year

Requirements

• Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
• Hands-on experience with NLP, including LLMs, transformers, embeddings, and vector databases.
• Deep understanding of neural networks, reinforcement learning, and generative models.
• Experience with cloud platforms such as AWS, GCP, or Azure, and MLOps tools such as MLflow, Kubeflow, Airflow, Docker, and Kubernetes.
• Strong knowledge of SQL/NoSQL databases and data engineering practices.
• Excellent problem-solving, communication, and leadership abilities.
• 8+ years of experience.

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, including CI/CD for ML, for scalable deployment and monitoring.
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to define AI-driven solutions.
• Research and integrate Generative AI, including LLMs, diffusion models, and 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 and on-prem environments.
• Mentor junior engineers and contribute to best practices in AI development.

Technologies

• AI
• Airflow
• AWS
• Azure
• CI/CD
• Cloud
• Computer Vision
• Docker
• GCP
• Kubeflow
• Kubernetes
• Machine Learning
• NoSQL
• PyTorch
• Python
• SQL
• TensorFlow

More

We are hiring an AI Engineer in Edinburgh, UK, working in a hybrid mode. We are looking for someone with 8+ years of experience to help us design and deliver advanced AI/ML solutions across a range of applications. Our work includes modern machine learning, generative AI, cloud-based deployment, and MLOps, and we value strong technical expertise, collaboration, and leadership.

last updated 28 week of 2026