AI/ML Engineer (Python)

About This Role

About Vantari

Vantari is a technology-driven company specialising in advanced solutions for aerospace, defence, and high-tech engineering. We work across key frontiers such as space and defence systems, wireless and 3GPP technologies, hardware and system engineering, software development, cyber security, and artificial intelligence. By partnering with leading organisations building next-generation platforms, we’re able to offer candidates opportunities to contribute to meaningful. When you work with Vantari, you’re supported by a team that understands deep-tech roles and is committed to helping you grow your career in a space where innovation truly matters.

Responsibilities:

• Develop and deploy AI/ML models for real-world applications.
• Work with large language models (LLMs) and build AI-driven solutions.
• Design and implement intelligent agents and automated workflows.
• Integrate AI systems with internal platforms and external APIs.
• Build scalable and secure AI infrastructure.
• Apply machine learning and NLP techniques to improve products.
• Analyze structured and unstructured data to generate insights.
• Contribute to AI strategy and technical roadmaps.
• Collaborate with cross-functional teams in an agile environment.
• Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
• Work across the full AI lifecycle (development to deployment).
• Adapt to new technologies and solve complex technical challenges.

Requirements:

• Background in Computer Science, Mathematics, Statistics, or related field.
• Hands-on experience in AI/ML, data science, or data engineering with at least 10+ years of experience.
• Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
• Experience building end-to-end AI/ML solutions from development to deployment.
• Solid understanding of machine learning, deep learning, and data analysis techniques.
• Ability to quickly adapt to new domains and solve complex problems.
• Background in aerospace, defence, robotics, or advanced engineering is preferable.