Website Gigged.AI
Job Summary: AI Engineer / AI Developer (Contract)
Gigged.AI is facilitating the recruitment for a high-impact Outside IR35 contract role focused on the intersection of artificial intelligence and sustainability. As part of a global organization’s mission to reach net-zero emissions by 2030, you will design and build a pilot AI solution to revolutionize Fleet Management.
This project moves beyond simple tracking, aiming to automate complex diagnostics and data-driven decision-making for a global fleet transitioning to electric and hybrid technologies.
Project & Financial Details
-
Project Name: AI-Driven Fleet Management Pilot.
-
Role Type: Contract (Outside IR35).
-
Rate: £600 per day (flexible based on experience).
-
Duration: 6 Months.
-
Start Date: April 2026.
-
Location: Mainly Remote (occasional travel to Glasgow or London is advantageous).
Key Responsibilities
-
End-to-End Development: Lead the discovery, design, and prototyping of an AI solution that utilizes telemetry and maintenance data.
-
LLM Integration: Evaluate and implement Large Language Models (LLMs) to automate fleet diagnostics and generate actionable insights.
-
Architecture Design: Build a scalable, cloud-native architecture on Azure or AWS that can eventually be transitioned from pilot to full production.
-
Data Engineering: Extract, transform, and clean datasets from varied sources (operational logs, asset data, maintenance records) using SQL and Python.
-
API Development: Create robust APIs to integrate the new AI services with existing internal fleet management systems.
Technical Requirements
-
Core Languages: Expert-level Python and SQL.
-
Cloud Platforms: Hands-on experience with Azure and/or AWS.
-
AI/ML Expertise: Proven experience in designing end-to-end AI/ML architectures and working with LLMs.
-
Integration: Solid experience in API development and system-to-system integration.
-
Strategic Thinking: Ability to engage with stakeholders to translate operational pain points into technical requirements.
The Vision: AI-Driven Fleet Diagnostics
The goal of this pilot is to move from reactive maintenance to proactive AI intelligence. By feeding telemetry and historical data into an AI model, the system should be able to “speak” to the condition of the fleet.
Key Deliverables include:
-
Requirements & Discovery Report: Mapping the automation landscape.
-
Data Quality Assessment: Identifying the health of existing telemetry data.
-
AI Architecture Design: The technical blueprint for the pilot.
-
The Working Prototype: A functional tool delivering automated fleet insights.
Why this is a Strategic “Gig”
-
Outside IR35: This provides the autonomy and tax structure preferred by independent consultants.
-
Net-Zero Impact: Your work directly contributes to a global sustainability target, providing a powerful case study for your portfolio.
-
Modern Tech Stack: You aren’t just maintaining legacy code; you are building a pilot using the latest LLM and cloud capabilities.
Application Tip: Highlight “Pilot-to-Production” Experience
Since this is a 6-month pilot, the client is looking for someone who builds with the future in mind.
-
Frameworks: Mention specific LLM frameworks you’ve used (e.g., LangChain, LlamaIndex, or native OpenAI/Azure AI services).
-
Telemetry Data: If you have experience with IoT or sensor data (common in automotive or industrial sectors), emphasize this.
-
Stakeholder Management: Use your proposal to show how you Bridge the gap between “Tech Talk” and “Business Value”—essential for securing a “Success” determination at the end of the 6 months.
How to Apply: All proposals must be submitted via the Gigged.AI platform.
-
Create a free talent profile at www.gigged.ai.
-
Follow the specific gig link: https://app.gigged.ai/find-a-gig/Jry0K8aDdYa.
-
Ensure your CV is attached to the proposal.
Gigged.AI is an award-winning HR technology company based in Glasgow that is redefining the future of work through an AI-powered talent marketplace. Founded in 2020, the firm specializes in connecting organizations with a global community of over 25,000 vetted tech freelancers and contractors. Its proprietary platform uses advanced machine learning to transform complex project requirements into clear “Statements of Work” (SoW), instantly matching them with the right skills to reduce hiring times from weeks to just five days.
Culture and Location
The company is headquartered at the BECO Building, 58 Kingston Street, Glasgow, G5 8BP. Gigged.AI fosters a “virtual-first” but highly collaborative culture built on trust, transparency, and a mission to “give every skill a purpose.” The team prioritizes mental health and environmental responsibility—notably planting a tree for every gig posted on the platform. With a leadership team rooted in the Scottish tech ecosystem, the company emphasizes continuous innovation and empowers its employees to act with the same agility as the freelancers they support.
Key Company Highlights
Feature Details Specialization AI-driven talent marketplaces & workforce intelligence Glasgow HQ BECO Building, 58 Kingston Street, Glasgow, G5 8BP Platforms Open Talent Marketplace & Internal Workforce Intelligence Impact 50% faster time-to-hire and 30% lower contingent costs Awards KPMG Tech Innovation finalist; Tech Nation Rising Star winner
Innovation & Workforce Intelligence
Beyond external hiring, Gigged.AI offers a Workforce Intelligence Platform that helps large enterprises map the “hidden” skills within their existing internal teams and identify where AI agents can boost productivity. By utilizing the SFIA (Skills Framework for the Information Age), they provide CIOs and CTOs with a data-driven view of their organization’s capabilities, fostering internal mobility and helping to bridge the global tech skills gap.
To apply for this job please visit gigged.ai.