AI Software Engineer

About the Role

Our client is seeking a talented and driven AI Software Engineer to join their fully remote team. In this role, you will be instrumental in developing, implementing, and deploying AI-powered software solutions. You will collaborate with data scientists and researchers to bring cutting-edge AI models and algorithms into production-ready applications. This is a unique opportunity to work on exciting projects within AI & Emerging Technologies , contributing to the creation of intelligent systems that will shape the future. You will enjoy the flexibility of remote work while making a significant impact on the company's technological advancements.

Key Responsibilities

• Develop robust, scalable, and efficient software solutions incorporating AI and machine learning models.
• Implement and optimize AI algorithms for performance and reliability in production environments.
• Collaborate closely with data scientists and researchers to integrate ML models into software applications.
• Write clean, maintainable, and well-documented code, adhering to software development best practices.
• Participate in code reviews, testing, and deployment processes.
• Troubleshoot and resolve software defects and performance issues.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 3+ years of professional software development experience, with a focus on AI/ML integration.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Understanding of software development lifecycle, including testing and deployment.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote working arrangement across the UK.
• Opportunity to work on innovative AI software development projects.
• Generous budget for professional development, training, and conferences.
• A collaborative and supportive team culture focused on innovation.