Sr AI​/ML Engineer

Job Overview

The Senior AI/ML Engineer is a highly skilled professional responsible for leading the development of complex AI/ML systems, driving innovation, and mentoring team members to deliver impactful solutions. In this role you will oversee the design, implementation, and deployment of scalable AI/ML models for mission‑critical aerospace and defense applications and act as a technical leader providing strategic guidance on AI/ML initiatives, ensuring compliance with regulatory standards and collaborating with stakeholders to meet organizational objectives.

• Exploration & Innovation
  Conduct continuous discovery and hypothesis‑driven experimentation, rapidly developing prototypes to assess feasibility and potential impact. Partner with business stakeholders to translate non‑technical requirements into actionable AI/ML exploration paths.
• RAG‑Focused AI/ML Development
  Develop and prototype RAG‑based architectures, including embedding pipelines, retrieval strategies, and transformer‑based generative components. Explore and validate new approaches for retrieval, indexing, and multimodal document understanding. Apply validation, safety, and explainability practices in support of aerospace/defense requirements.
• MPC & Real‑Time Decisioning Exploration
  Design and prototype MPC‑aligned models incorporating predictive modeling, optimisation, and reinforcement‑learning‑based control. Develop signal processing, perception, and planning pipelines supporting MPC control loops. Use GPU acceleration, simulation environments, and HPC resources to support MPC experimentation.
• Advanced AI/ML Modeling & Technical Leadership
  Architect, train, and optimise advanced models including transformers, GANs, RL agents, and real‑time systems. Provide technical leadership, mentor engineers, and guide cross‑functional teams.
• Safety, Validation & Integration Support
  Develop validation and testing frameworks ensuring compliance with safety and reliability standards. Support integration teams with prototypes, documentation, and technical insights as required.

• Contribute to AI/ML innovation and prototyping projects from exploration through technical feasibility assessment.
• Support cross‑functional engineering teams and integration efforts as needed.
• Travel occasionally (10–20%) to customer sites, test facilities, or conferences.
• Work in a hybrid office environment, balancing hands‑on research with technical leadership.
• Ensure compliance with safety, regulatory, and cybersecurity standards for AI/ML systems.

• Bachelor’s degree in computer science, mathematics, applied statistics, or a related STEM discipline.
• 10+ years experience in a related field or a higher level degree may substitute for experience.
• Advanced skills in machine learning frameworks (Tensor Flow, PyTorch) and modern AI/ML techniques, including supervised, unsupervised, and reinforcement learning.
• Demonstrated ability to design and optimise generative AI models (transformers) and neural networks for complex applications.
• Extensive experience architecting, deploying, and optimizing AI/ML systems, including ANNs, CNNs, RNNs, in large‑scale or mission‑critical environments.
• Strong proficiency in Python, C++, C#, or Java, with experience building scalable AI/ML systems.
• Demonstrated experience leading teams or projects, including mentoring junior staff.
• Proven track record of deploying AI/ML models in production environments and optimizing them for real‑world use cases.
• Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications.
• Experience designing and optimizing generative AI models including transformers and GANs.
• Experience building or integrating transformer‑based models for retrieval‑augmented or hybrid reasoning systems.
• Proficiency designing embedding, retrieval, or indexing pipelines for large, multi‑source datasets.
• Familiarity with explainable AI (XAI) techniques for safety‑critical environments.
• Hands‑on experience with reinforcement learning and real‑time systems applicable to MPC.

• Master’s degree or Ph.D. in Artificial Intelligence, Machine…