AI Engineer / AI Developer - Outside IR35 - UK based
Posted 1 day ago by Gigged.AI
£600 Per day
Outside
Remote
Glasgow, Scotland, United Kingdom
Summary: The role of AI Engineer / AI Developer involves leading the development of a pilot AI solution for fleet management, focusing on automating diagnostics and enabling data-driven decision-making. The position is based in the UK and is classified as outside IR35, with a flexible daily rate depending on experience. The project aims to support the transition to sustainable technologies within a global fleet. Occasional travel to Glasgow or London offices may be required.
Key Responsibilities:
- Lead the end-to-end development of a pilot AI solution.
- Engage with operations, fleet management, and data stakeholders to identify automation opportunities.
- Define functional and technical requirements for the AI solution.
- Identify relevant data sources and prepare data for AI/ML use.
- Design scalable architecture using Azure and/or AWS.
- Build AI services using Python and develop data pipelines.
- Create APIs for model interaction and integrate with internal systems.
- Deliver a working prototype for fleet condition diagnostics.
- Present the solution to stakeholders and produce technical documentation.
- Provide recommendations for scaling to production.
Key Skills:
- 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.
Salary (Rate): £600 per day
City: Glasgow
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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 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.