Senior AI Software Engineer
12-Month Contract (Likely Extension)
Location: Gloucester – 3 days onsite
Rate: £60.61–£74.08 per hour (Inside IR35, Umbrella)
Approx. £448–£548 per day
✨ Join a team shaping the future of intelligent engineering.
This is a unique opportunity to apply advanced AI and machine learning solutions within a high-integrity, safety-critical engineering environment.
You’ll be working at a site known for delivering cutting-edge mechanical and digital innovation, supporting technologies used in major global aerospace and industrial platforms. The systems you help develop will directly enhance engineering capability, operational performance, and next-generation product development.
If you want your AI work to have real-world impact—supporting engineers who design and maintain complex, high-performance mechanical systems—this role offers exactly that.
What You’ll Be Doing
You’ll take a leading role in how AI is imagined, built, and deployed across the engineering organisation, helping accelerate digital transformation and automation within highly technical domains.
Technical Leadership & Direction
Shape the vision and standards for AI technologies across the department.
Ensure consistency, reliability, and forward-looking best practices across all AI initiatives.
AI & Model Development
Prototype, train and deploy machine learning, deep learning, NLP, LLM and computer vision models to solve real engineering challenges.
Build models that enhance analysis, prediction, automation and data-driven decision making.
Designing Scalable AI Systems
Architect production-ready ML systems and integrate them into engineering toolchains.
Build solutions that must operate reliably in high-stakes, high-performance environments.
Data Pipeline Ownership
Develop robust, high-quality data pipelines that support model training, inference and continuous optimisation.
Collaboration That Drives Innovation
Work with engineers, data scientists, product owners and technical leaders to deliver impactful AI capability across engineering functions.
Influence design decisions and contribute to the digital evolution of complex mechanical systems.
Continuous Improvement
Bring new ideas, modern techniques and innovation into the AI ecosystem.
Drive adoption of best practices across modelling, architecture, deployment and MLOps.
Operational Troubleshooting
Support deployed AI systems, diagnose performance issues and maintain the reliability expected in a safety-critical environment.
Documentation & Technical Clarity
Document processes, model designs and technical decisions to support lifecycle clarity and compliance.
Skills & Experience You’ll Bring
Python expertise (Java advantageous).
Strong practical experience across:
Machine learning
Deep learning
LLMs
NLP
Computer vision
Solid grounding in software engineering, including deployment, versioning, integration and lifecycle management of AI systems.
Experience with AWS or other cloud environments (AWS preferred).
Strong understanding of databases, data stores and ETL pipelines.
Confident with statistical analysis, data exploration and data visualisation.
Excellent communication skills—able to collaborate with engineers, technical teams and non-technical stakeholders.
Why This Role Stands Out
This isn’t just another AI role.
You’ll be applying AI to complex, fascinating real-world engineering problems, supporting teams who build and maintain some of the world’s most advanced mechanical systems used in global aerospace applications.
Your work will directly influence performance, reliability and engineering innovation in a domain where precision and intelligence truly matter.
Applications closing soon so please get in touch if you're interested in discussing further