🚀 About the Role:

• As a Machine Learning Engineer, you will:
• Develop, train, and optimise machine learning models focused on computer vision and generative AI applications
• Build and deploy scalable ML solutions into production environments
• Design automation solutions that reduce manual effort and improve operational efficiency
• Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy
• Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions
• Research emerging technologies and rapidly evaluate their suitability for business applications
• Contribute to the evolution of production-grade machine learning infrastructure and workflows

➕ Nice to Have:

• Several years of hands-on experience within machine learning and computer vision
• Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow
• Practical experience working with generative AI technologies including diffusion models and GANs
• Understanding of ML deployment, scalability, performance optimisation, and production environments
• Experience with Docker and cloud-based infrastructure
• Knowledge of creative AI tools and visual content workflows
• Experience working with image-based products, digital content platforms, or related industries
• Strong analytical thinking combined with a pragmatic, solution-oriented mindset
• Ability to communicate effectively in an international and cross-functional environment