AI/ML Engineer

Role : AI/ML Engineer Location : Edinburgh Work Mode: Hybrid Contract Role Experience : 8+ Years Job Description Key Responsibilities • Design, develop, and implement AI/ML models, algorithms, and solutions for real-world problems. • Collaborate with data engineers to prepare, clean, and optimize large-scale datasets for AI applications. • Build and deploy machine learning pipelines (training, validation, deployment, monitoring, and retraining). • Optimize models for scalability, performance, and cost efficiency in production environments. • Apply NLP, computer vision, deep learning, or reinforcement learning techniques where applicable. • Work with cloud platforms (AWS, Azure, GCP, or Snowflake) to deploy AI solutions at scale. • Collaborate with stakeholders to translate business problems into AI-driven solutions. • Implement AI observability, governance, fairness, and ethical AI practices. • Stay up-to-date with emerging AI/ML research, tools, and technologies. Required Skills & Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field. • Strong programming skills in Python, Java, or C++ with hands-on experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras). • Solid understanding of ML algorithms, neural networks, transformers, and statistical methods. • Experience with data processing frameworks (Pandas, Spark, SQL, Kafka). • Knowledge of cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI). • Strong problem-solving and analytical skills with the ability to translate complex problems into implementable AI solutions. • Experience in model monitoring, A/B testing, and continuous improvement.