AI Engineer in Reading

6-Month contract – Inside IR35 – market rate

Reading based – hybrid working – 2 days a week on site

The AI Engineer is responsible for designing and implementing AI-driven solutions, with a focus on document intelligence, automation, and scalable AI workflows.

Aligned to an outcome-based delivery model, the role ensures AI capabilities are production-ready, validated, and integrated into enterprise systems to deliver measurable business value.

Responsibilities

• Design and build AI-driven workflows for document extraction and processing.
• Develop and integrate AI pipelines into enterprise applications.
• Support scaling of AI capabilities across datasets and use cases.
• Ensure alignment with enterprise architecture, data governance, and security standards.
• Build and optimise AI pipelines for extraction, transformation, and validation.
• Ensure accuracy, quality, and performance of AI output.
• Implement validation frameworks and tracking for AI model performance.
• Deploy AI services through secure APIs into the production environment.
• Embed QA and governance practices into the AI development lifecycle.
• Support continuous improvement of AI models and workflows.
• Leverage AI-assisted tools to accelerate development, testing, and optimisation of AI pipelines.
• Use AI techniques to improve automation, extraction accuracy, and operational efficiency.
• Support broader adoption of AI-assisted engineering practice.
• Ensure responsible and secure use of AI technologies in line with enterprise policies.
• Continuously explore emerging AI capabilities to enhance delivery outcomes.

Skills & Experience

• Experience with AI/ML workflows and document intelligence solutions.
• Experience with cloud-based AI services and scalable architecture.
• Understanding of model validation, accuracy, and lifecycle management.
• Experience integrating AI into enterprise systems.
• Experience developing and deploying AI or machine learning solutions.
• Strong programming and analytical skills.
• Understanding of model validation, performance, and governance.
• Experience integrating AI into production systems.
• Experience working in Agile/DevOps teams.
• Degree in Artificial Intelligence, Computer Science, Data Science, or equivalent experience.