AI Engineer

Salary: £45,000 – 80,000 per year

Requirements

• Experience with AI/ML workflows and document intelligence solutions.
• Strong programming skills in Python, APIs, and data processing frameworks.
• Experience with cloud-based AI services and scalable architectures.
• Understanding of model validation, accuracy, and lifecycle management.
• Experience integrating AI into enterprise systems and production environments.
• Experience developing and deploying AI or machine learning solutions.
• Strong programming and analytical skills.
• Experience working in Agile/DevOps teams.
• A degree in Artificial Intelligence, Computer Science, Data Science, or equivalent experience.

Responsibilities

• Design and build AI-driven workflows for document extraction and processing.
• Develop and integrate AI pipelines into enterprise applications.
• Support scaling 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 outputs.
• Implement validation frameworks and tracking for AI model performance.
• Deploy AI services through secure APIs into production environments.
• 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 practices.
• Ensure responsible and secure use of AI technologies in line with enterprise policies.
• Continuously explore emerging AI capabilities to enhance delivery outcomes.

Technologies

• AI
• Cloud
• DevOps
• Support
• Machine Learning
• Python
• Security
• ARM

Contract and Location

We are recruiting for a 6‑month contract AI Engineer role on an inside IR35 basis at market rate. The role is based in Reading with hybrid working, requiring 2 days per week on site.

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