Artificial Intelligence & Machine Learning Engineer (KTP Associate)

This KTP will develop and embed advanced artificial intelligence capabilities that transform the way R&B Switchgear operates, interprets technical documentation and delivers engineering projects.

The project will create innovative AI systems capable of analysing complex engineering information across visual and text-based sources. These solutions will increase efficiency, improve consistency and streamline time-intensive engineering and operational activities.

By embedding AI technologies throughout the estimation workflow, R&B expects to significantly improve operational efficiency, increase capacity and establish a competitive advantage within the electrical engineering sector. The project will also create new organisational capabilities in artificial intelligence, data engineering, safe AI and digital automation.

Qualifications, Skills & Experience

• A graduate with a minimum 2.1 BEng/BSc in Computer Science, Artificial Intelligence, Data Science, Machine Learning or a related subject.
• Knowledge and demonstrable experience applying machine learning techniques to real-world problems.
• Experience in computer vision, natural language processing and large language models.
• Experience of developing, testing and deploying machine learning models.
• Understanding of data engineering, software development and AI deployment practices.
• Experience of Safe AI, cybersecurity or regulated environments would be advantageous.

This KTP will develop a secure, explainable AI system that automatically reads, interprets and converts SLDs and specifications into accurate Bills of Materials and costed quotations, automating the SLD-to-quotation process. The innovation lies in combining computer vision, natural language processing and large language models into a single multimodal reasoning engine that can understand drawings and text together, supported by explainability to show how engineering decisions were made and secure by design deployment appropriate for regulated sectors.