AI Engineer - Contract Role (UK Based)

Gigged AI is an open talent marketplace specialising in the IT and technology sector. We

have an opportunity live at the moment for a AI Engineer/AI Developer (UK Based).

Location: Remote / UK-based (any occasional travel to Glasgow/London would be advantageous)

Duration: 6 months

Start Date: ASAP

Day Rate: £600 (flexibility available dependent on experience)

IR35 Status: Pending final determination (please confirm on proposal if open to both)

All applicant proposals will be reviewed directly on the Gigged AI platform by the

hiring manager.

In order to send a proposal please follow the below steps:

• head to www.gigged.ai and create a free talent profile
• once signed in, follow this link to the project - https://app.gigged.ai/find-a-gig/Jry0K8aDdYa
• you will now see a 'submit proposal' button
• please fill this in (intro, relevant experience, and attach CV to this)

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.

Ideal Profile

We are specifically seeking a highly experienced engineer with a strong background in

building and delivering enterprise-grade applications (typically 8–10+ years). The ideal

candidate will have deep hands-on development experience in either Python or full-stack,

understanding of the full application lifecycle, including DevOps practices, CI/CD pipelines,

security implementation, testing frameworks, and cloud deployment across platforms such

as Azure, AWS, or GCP.

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, or full-stack 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