AI Software Engineer

Safran Engineering Services; Gloucester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading engineering services company in Gloucester is seeking a Senior AI Software Engineer to design and implement AI projects. You will lead technical efforts and collaborate with engineers and data scientists to enhance productivity and innovation. The role includes 12 to 24 months contract, initially full-time onsite with potential for hybrid work. Exceptional benefits include a competitive pension scheme and professional development opportunities.

Benefits

5 weeks holiday plus bank holidays

Pension scheme with employer contributions

Death in service life insurance

Health insurance

Career development opportunities

Onsite canteen

Qualifications

• 2-5 years' experience in a software engineering role.
• Hands-on experience designing and implementing AI solutions.
• Strong background in software engineering principles.

Responsibilities

• Provide technical direction for AI projects.
• Oversee technical standards and best practices.
• Prototype and develop machine learning models.
• Manage data quality and pipelines.
• Collaborate with data scientists and stakeholders.

Skills

Python

Java

Machine learning

Deep learning

NLP

Computer vision

Statistical analysis

Data visualization

Cloud platforms (AWS)

Data engineering

Job description

In order to develop and expand the capabilities of SAFRAN Engineering Services in the UK, we are looking to recruit a Senior AI Software Engineer to work on major programmes within the Engineering Methods & Tools Department by taking a leading role in the design, development, and deployment of AI projects supporting engineering activities.

The role is initially for 12 months, but may extend up to 24 months, and with ideally an immediate start. The role is based in Gloucester. For the initial period (usually 3 months), the Senior AI Software Engineer will be based full time onsite, then depending on priorities and dependencies, there may be an opportunity to operate in a hybrid model, for up to two days working from home per week.

You will collaborate with senior engineers, data scientists, and stakeholders to design, build, and implement machine learning models and AI solutions that improve the productivity, efficiency, and innovation.

Key Responsibilities

• Provide technical direction, ensuring consistency and reliability of AI project technologies, and methodologies
• Oversee technical standards and best practices to future AI projects
• Prototype, develop, and implement machine learning models and AI solutions for engineering applications
• Design and build scalable ML systems and AI solutions
• Manage data pipelines and ensure data quality
• Collaborate with data scientists, product owners, and stakeholders to manage the model development pipeline
• Promote and implement AI best practices and continuous improvement
• Identify, troubleshoot, and resolve problems with deployed AI systems
• Document all steps in the development process

Requirements

• 2-5 years' experience at least in software engineering role
• Strong hands‑on experience designing, prototyping, and implementing AI solutions
• Strong software engineering fundamentals
• Programming Languages: Python, Java
• Experience with LLM, machine learning, deep learning, NLP, and computer vision
• Strong background in software engineering principles, including deployment and maintenance of AI systems
• Knowledge of cloud platforms, experience with AWS is an advantage
• Experience with databases and data stores
• Statistical analysis, data visualization
• Strong communication skills to collaborate with other team members
• Leadership: supervises, mentors, and provides guidance to junior engineers or apprentices
• Proactive, autonomous, adaptable, good communication and strong team collaborator

Benefits – Employed Route (Fixed Term)

• Early finish on a Friday (midday)
• 5 weeks holiday per year plus statutory bank holidays
• Personal pension scheme whereby 5% contribution from employee and 8% from employer plus salary sacrifice
• Death in service life insurance – covering up to 4x annual basic salary in the event of death in service
• Health insurance (Bupa)
• PEGI Share Scheme
• Career development within Safran Group
• Training & development are a focus
• Onsite canteen

Benefits – Contractor Route

• Early finish on a Friday (midday)
• Onsite canteen