About The Company&Role My client is an established and leading provider of precision engineering solutions and services, supplying a variety of precision machined components for the Aerospace industry sector. With a commitment to quality and innovation, they take pride in their skilled team and cutting-edge technology. As they continue to grow, they are looking to recruit an experienced Quality Inspector with a strong understanding of AS9100 and FAIR. As Quality Inspector you will inspect in-process and finished product, using a variety of mechanical measurement equipment and CMM, to ensure compliance to drawing specifications, customer and company requirements. Key Responsibilities: Inspect and verify parts across all stages of the manufacturing process for a variety of precision machined components in a variety of materials Conduct First Article Inspection Reporting (FAIR) Ensure all parts produced are in line with drawing and specification requirements Manage and report on non-conformances Perform Root Cause Analysis and resolution, ensuring correct rework of parts where appropriate, necessary Collaborate with the wider team to ensure quality and production targets Manage customer returns, liaising and communicating with external customers to ensure positive relationships and resolution of non-conformance Assist and report on monthly statistics Experience Requirements: Previous experience in a similar role within a Precision Engineering Aerospace environment Strong experience and understanding of AS9100 Working knowledge of First Article Inspection Reports (FAIR AS9102) Conversant in the use of Mechanical Measurement Equipment (verniers, micrometers, calipers gauges etc.) and CMM Knowledge of performing first-off, stage and final inspection Confident reading and interpreting engineering drawings Capable of working independently and with minimal supervision Effective communication skills and computer literacy, including strong Excel skills Previous experience of implementing AS13002, including measurement system analysis and Statistical Process Control would be extremely beneficial and