Autonomy AI Engineer: Build Secure, Scalable AI Solutions

Groupe SII

United Kingdom

Remote

GBP 65,000 - 90,000

Full time

5 days ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

SII UK is seeking an AI Engineer for Autonomy to design, develop and deliver advanced AI/ML solutions for safety-critical defence programmes. You will join a multidisciplinary AI and software engineering team to transform challenges into robust, scalable capabilities.

You will work across the full AI lifecycle from concept to deployment, ensuring security, compliance and best practices while collaborating with data engineers, cyber security specialists and cloud engineers.

Qualifications

Strong Python development in commercial or industrial environments.
Experience developing AI/ML solutions using frameworks such as PyTorch, TensorFlow or Scikit-Learn.
Knowledge of autonomy frameworks such as ROS2 or equivalent technologies.
Experience working with Computer Vision, Deep Learning, NLP/LLM or Time-Series Analytics solutions.
Strong understanding of data analysis and manipulation using tools such as Pandas, NumPy and SQL.
Experience deploying AI models into operational environments.
Understanding of Responsible AI principles, model explainability and AI security considerations.
Experience using Git and modern software development practices including testing and continuous integration.
Knowledge of Agile development methodologies and DevOps/MLOps principles.
Eligible to obtain UK Security Clearance (SC).

Responsibilities

Translate business and operational requirements into AI solution designs and measurable outcomes.
Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics.
Design and maintain robust data processing, training and evaluation pipelines.
Apply Responsible AI principles, ensuring model robustness, explainability, security and compliance.
Work closely with software engineers to deploy AI capabilities into production environments.
Define and monitor model performance metrics, data quality indicators and model drift measures.
Produce high-quality, secure and maintainable code following software engineering best practices.
Generate technical documentation including architecture designs, model reports and implementation guidance.
Develop reusable AI components and frameworks to accelerate future programme delivery.
Support customer demonstrations, proof-of-concepts, technical workshops and bid activities.
Collaborate with data engineers, architects and cyber security specialists to develop integrated solutions.
Evaluate emerging AI technologies and promote continuous improvement and innovation.