AI Software Engineer

About the Role

Our client is seeking a talented and motivated AI Software Engineer to join their innovative team in Oxford . This role is integral to developing and implementing software solutions that leverage artificial intelligence and machine learning to enhance product capabilities. You will collaborate closely with AI researchers and product managers to translate cutting-edge algorithms into robust, scalable, and production-ready software. This hybrid position offers an exciting opportunity to work on challenging AI projects within a leading technology hub, contributing to the future of intelligent applications.

Key Responsibilities

• Develop, test, and deploy software systems incorporating AI and machine learning models.
• Implement efficient data processing pipelines and integrate ML models into existing software architecture.
• Collaborate with AI scientists to optimize algorithms for performance and scalability in production environments.
• Write clean, maintainable, and well-documented code according to software engineering best practices.
• Participate in code reviews, design discussions, and contribute to the overall technical direction of AI projects.
• Troubleshoot and resolve software defects and issues related to AI components.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 2+ years of experience in software development, with a focus on or strong interest in AI/ML.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Understanding of software development principles, data structures, and algorithms.
• Strong problem-solving skills and the ability to work effectively in a hybrid setting in Oxford .

Benefits

• Competitive salary and performance-related bonuses.
• Comprehensive health, dental, and vision insurance.
• Pension scheme and generous holiday entitlement.
• Opportunities for professional development and continuous learning.
• A stimulating hybrid work environment in the historic city of Oxford .