Research Engineer – Digital & Simulation

GKN Aerospace

. Develop AI agents, copilots, and intelligent automation solutions .

Posted 9/29/2026full-timeBristol • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI agents and applications using Large Language Models (LLMs) and APIs, with a strong foundation in Python and industrial project deployment. Capable of collaborating across teams to drive digital transformation initiatives in manufacturing and engineering contexts.

Highest-signal resume keywords

AI Application DevelopmentLarge Language Models (LLMs)Python ProgrammingIndustrial Project DeploymentCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AIMachine LearningAI AgentsChatbotsPrompt EngineeringRAG ArchitecturesGitDockerAPIsDatabases

Soft Skills

Excellent CommunicationCollaborationAbility to Learn QuicklyIndependent Work

Tools & Technologies

Cloud PlatformsAPIsDatabasesGitDocker

Industry Keywords

Industry 4.0Digital ManufacturingIndustrial IoTDigital Transformation

Tech Stack

Tools & technologies

CloudDockerIoTPython

About the role

Key responsibilities & impact

Develop AI agents, copilots, and intelligent automation solutions
Build AI applications using LLMs, APIs, and enterprise data sources
Prototype and evaluate new AI technologies for manufacturing and engineering use cases
Collaborate with engineering, operations, and IT teams to solve business challenges
Support the deployment and adoption of AI and digital transformation initiatives
Work within GKN Aerospace’s Global Technology Centre and Aerospace Research and Development team

Requirements

What you’ll need

Degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related STEM discipline or equivalent practical experience
Understanding of AI, machine learning, Large Language Models (LLMs), and AI agents
Experience with Python or other software development languages
Industrial project experience with clear solution deployment
Ability to learn quickly and work independently
Excellent communication and collaboration skills
3+ years’ experience deploying solutions in an industrial environment (desirable)
Experience developing AI agents, chatbots, or AI-powered applications through academic, personal, or professional projects (desirable)
Familiarity with agent frameworks, prompt engineering, and RAG architectures (desirable)
Experience with cloud platforms, APIs, and databases (desirable)
Understanding of Industry 4.0, digital manufacturing, or Industrial IoT (desirable)
Knowledge of Git, Docker, or modern software development practices (desirable)
Recent graduates and early-career professionals are encouraged to apply
Relevant academic, internship, personal, or open-source project experience is valued over years of industry experience

Benefits

Comp & perks

Competitive salary dependent on experience
Access to a salary sacrifice EV scheme giving tax and national insurance savings
Industry Leading Pension Scheme with contributions matched up to 8% on a 1:1.5 basis
Life Assurance 8 x salary
25 days annual leave + bank holidays
Income protection
Shopping discounts
Cycle To Work Scheme
Employee Assistance Programme
Virtual GP Clinic for you and immediate family
A collaborative, dynamic working environment with significant opportunity to upskill
Learning and development opportunities
Training opportunities
Diversity, inclusion and belonging initiatives
Reasonable adjustments during the recruitment process