Machine Learning Engineer

Machine Learning Engineer – Abu DhabiDiscover the Opportunity:We’re partnering with a leading financial services organisation in Abu Dhabi that is continuing to expand its AI and Machine Learning capabilities.They’re looking for a highly technical, hands-on Machine Learning Engineer to build and deploy scalable AI systems that solve complex, real-world business problems.This role is heavily focused on production engineering. You’ll work across the full ML lifecycle, from model development and training through to deployment, optimisation and integration into live applications.Discover the Responsibilities:Design, train and deploy production-grade Machine Learning and AI models across a range of complex use casesBuild end-to-end ML pipelines covering data ingestion, transformation, training, validation, deployment and ongoing optimisationWork with traditional ML, deep learning, neural networks and emerging Agentic AI architecturesFine-tune LLMs/SLMs and contribute to the development of more complex Generative AI solutionsAutomate model training, testing and deployment through CI/CD and modern MLOps practicesBuild scalable model serving capabilities for both real-time and batch inferenceWork closely with Software, Data and AI teams to integrate models into production applicationsDiscover the Requirements:3–7 years of experience building and deploying production-grade, scalable AI/ML systemsStrong hands-on expertise across Machine Learning, with experience in areas such as deep learning, NLP, Computer Vision or Generative AIStrong understanding of ML system architecture and taking models from development through to productionExperience with LLMs, model fine-tuning and modern AI architecturesExperience with model serving and API development using technologies such as FastAPI or FlaskUnderstanding of Docker, Kubernetes, CI/CD and MLOps tooling such as MLflow or KubeflowExperience deploying Machine Learning models across AWS or AzureBachelor’s degree in Computer Science, Engineering or a related technical discipline; Master’s or PhD would be advantageous