AI Engineer / AI Developer - Outside IR35 - UK Based

Gigged.AI is an open talent marketplace specialising in the IT and technology sector. We have an opportunity live at the moment looking for a AI Engineer / AI Developer - Outside IR35 - UK based All proposals will be reviewed on the Gigged AI platform. In order to send a proposal please head to www.gigged.ai and create a free talent profile. Once signed in, follow this link (https://app.gigged.ai/find-a-gig/Jry0K8aDdYa) where you will see a ‘submit proposal’ button. Please ensure your CV is attached to the proposal. Project: AI-Driven Fleet Management Pilot • Start: April 2026 • Duration: 6 months • IR35: Outside, pending final determination • Rate: £600~ per day, flexibility depending on experience • Mainly Remote - Occasional travel to either Glasgow or London office would be advantageous. Overview We are working towards our net-zero emissions target by 2030, transitioning our global fleet to more sustainable technologies such as electric vehicles, hybrid systems, and Stage V generators. A critical part of this transformation is improving fleet management. We are looking for an AI Engineer to design and deliver a pilot AI solution that automates fleet diagnostics and enables data-driven decision-making, leveraging modern AI and Large Language Model (LLM) capabilities. Responsibilities You will lead the end-to-end development of a pilot AI solution, including: Discovery & Requirements • Engage with operations, fleet management, and data stakeholders • Identify automation opportunities across fleet workflows • Define functional and technical requirements Data Exploration & Preparation • Identify relevant data sources (telemetry, maintenance records, asset data, operational logs) • Extract and transform data using SQL and data pipelines • Clean and structure datasets for AI/ML use AI Solution Design • Design scalable architecture using Azure and/or AWS • Evaluate and integrate LLMs where appropriate • Define APIs and services for model interaction Prototype Development • Build AI services using Python • Develop data pipelines and model workflows • Create APIs to integrate with internal systems • Deliver a working prototype for fleet condition diagnostics Pilot Demonstration • Present the solution to stakeholders • Produce technical documentation • Provide recommendations for scaling to production Key Deliverables • Requirements & Discovery Report • Data Inventory and Data Quality Assessment • AI Architecture Design (including models, APIs, and cloud services) • Fleet Diagnostics AI Prototype • Technical Documentation • Pilot Demonstration and Recommendations Required Skills & Experience • Strong Python development experience • SQL for data extraction and transformation • Experience with Azure and/or AWS • Experience working with Large Language Models (LLMs) • API development and system integration experience • End-to-end AI/ML solution architecture experience Success Criteria • Delivery of a working AI pilot • Automated generation of fleet condition insights from available data • Scalable architecture validated for future production deployment • Positive stakeholder validation of the solution’s value Working Arrangement • We will provide access to stakeholders, data, and cloud environments • The AI Engineer will take ownership of discovery, design, development, and demonstration Additional Information This is a high-impact opportunity to apply AI within a global organisation, working on a tangible use case with clear operational and sustainability outcomes.