Job Title: AI Engineer (contract)

Location: London Hybrid. Travel to the London office 2 days a week

Duration: 6 months

Contract Start Date: March 2026

Rate: Competitive(inside IR35)

Deloitte

Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.

The Role

We are looking for a AI Engineer to join our Data and AI Team supporting internal service delivery transformation projects across Tax and Legal. You will be a Python and Azure expert in designing and building cutting-edge generative AI solutions for complex challenges. You will report to the Technical Lead and collaborate with data scientists, software engineers and product specialists across the team to build and deliver high-impact solutions.

Essential Skills and Experience

Expert-level Python programming skills; strong advocate for PEP8 compliance, clean code, unit testing, and version control (Git, Unix, pytest).
Experience retrieving data from structured, unstructured and web sources (Selenium/PlayWright, Pandas, XML etc)
Must have experience building data engineering pipelines in Azure
Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such as ML Studio, Foundry, Synapse, Cosmos
Deep expertise in deploying and scaling generative AI solutions within Azure, including proficiency with databases, Prompt Flow, virtual machines, and Azure Foundry.
Working knowledge of C#, .NET, Docker, and Kubernetes.
Ability to research, evaluate, and implement cutting-edge AI frameworks (e.g., MCP).

Desirable:

Experience with end-to-end deployment of GenAI orchestration and associated services.
Experience creating, monitoring, and troubleshooting APIs.
Knowledge of traceability, auditability, and observability best practices.
Knowledge of Responsible AI practices

Deliverables: Responsibilities but not limited to:

Design and develop reusable, production-ready Python components for AI applications.
Translate experimental and proof-of-concept Python code into robust, production-ready applications for seamless integration with engineering and product teams.
Write high-quality, well-documented, and testable Python code, ensuring rigorous quality control before handover.
Maintain comprehensive documentation to support seamless team operations.
Collaborate effectively within a cross-functional team (data scientists, software engineers, Tax & Legal domain experts).

IR35

As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (‘PSCs’). All Associates must contract under PAYE arrangements through a Deloitte approved ‘Employment Company’ (aka ‘umbrella company.’)

Deloitte

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