Senior Software Engineer

Morson Edge; Gloucester; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading engineering firm in Gloucester is seeking a hands-on Senior Software Engineer for a 12-month hybrid contract. The role requires strong Python development and experience with AI/ML integration. You'll collaborate with global teams, contribute to robust software solutions, and support junior engineers. This opportunity allows tackling real-world engineering challenges, making significant impacts in aerospace systems, and offering a conducive environment for career growth.

Qualifications

• 2-5 years in a commercial software engineering role preferred.
• Experience in an engineering, industrial, or aerospace environment is a bonus.
• Confident mentoring junior team members.

Responsibilities

• Develop and maintain software solutions integrating AI/ML functionality.
• Prototype and implement applied ML functions.
• Provide guidance to junior engineers.

Skills

Python development

Software engineering fundamentals

Databases and storage systems

AWS or cloud environments

ML frameworks or libraries

Job description

Senior Software Engineer

Term: 12-Month Contract, likely to extend
Location: Gloucester - hybrid working, 3 days onsite per week
Rate: £51.21 per hour, approximately £379 per day (Inside IR35, Umbrella)

About the Role

This is an excellent opportunity for a hands‑on Senior Software Engineer with strong Python skills and some applied AI/ML experience to support the development and deployment of intelligent engineering solutions within a world‑class aerospace and industrial environment.

You will work as part of a growing team dedicated to improving engineering efficiency, automation, and digital capability. The role is practical, delivery‑focused, and involves close collaboration with global AI teams in Canada and France as well as local engineering stakeholders in Gloucester.

This is not a research or deep data science role - instead, you will apply software engineering fundamentals, support the integration and deployment of AI‑based tools, and help uplift engineering capability through high‑quality, scalable software.

What You'll Be Doing

Software Engineering & Technical Delivery

• Develop, deploy, and maintain software solutions that integrate AI/ML functionality.
• Build robust, high-quality Python applications used within engineering workflows.
• Contribute to the design and implementation of data pipelines and data storage solutions.
• Support troubleshooting, optimisation, and ongoing maintenance of AI‑enabled systems.

Lightweight AI/ML Integration

• Prototype and implement applied ML functions (eg, classification, prediction, feature extraction) where needed.
• Integrate models developed by global AI/ML teams into production‑ready engineering tools.
• Perform data preparation, analysis, and exploratory investigations to support engineering needs.

Technical Leadership & Mentorship

• Provide guidance to junior engineers and apprentices at the Gloucester site.
• Uphold technical standards, coding best practices, and documentation quality.
• Influence design decisions and ensure reliability across software initiatives.

Global Collaboration

• Work closely with AI/ML experts in Toronto and Paris, facilitating knowledge transfer and technical alignment.
• Help accelerate local projects by leveraging specialist expertise from international teams.
• Collaborate across business and IT to meet engineering objectives.

Continuous Improvement

• Identify and champion improvements in tooling, processes, coding practices, and methodologies.
• Stay aware of emerging software engineering and AI technologies.

Skills & Experience Required

Core Technical Skills

• Strong Python development experience (required).
• Solid software engineering fundamentals:
  • version control, testing, deployment
  • CI/CD and life cycle management
  • troubleshooting and optimisation
• Experience working with databases, storage systems, and basic ETL workflows.
• Experience with AWS or another cloud environment (advantageous).
• Familiarity with ML frameworks or libraries (preferred but not essential).

Experience Level

• 2-5 years in a commercial software engineering role preferred.
• Experience working in an engineering, industrial, or aerospace environment is a bonus.

Soft Skills & Leadership

• Able to take a leading role in delivering technical projects.
• Confident mentoring junior team members.
• Strong communication and stakeholder engagement skills.
• Collaborative, autonomous, and proactive mindset.

Why This Role Stands Out

• You will be working on real engineering challenges, not theoretical research.
• Opportunity to shape how intelligent tools support high‑performance aerospace systems.
• Tight collaboration with global AI teams - excellent environment for career growth.
• A role that blends solid software engineering with exposure to modern AI practices.