Overview
Akkodis is a global leader in engineering, technology and R&D, harnessing connected data to drive digital transformation and innovation. With over 50,000 engineers and digital specialists across 30 countries, Akkodis supports organisations from concept through to full-scale deployment and optimisation across consulting, solutions, talent and academy services.
Role
Akkodis is seeking a Senior Software Engineer to join the Engineering Methods & Tools team, supporting the Landing Systems Engineering organisation.
Key Responsibilities
- Lead software development activities and support engineering standards for scalable, maintainable codebases
- Design, build, test and maintain Python-based applications and services
- Integrate AI/ML components into engineering tooling in collaboration with data scientists and senior engineers
- Contribute to system and architecture design combining software engineering principles with AI capabilities
- Develop and maintain data processing workflows supporting software and AI-driven applications
- Deploy, monitor and support applications in production environments
- Collaborate with engineering stakeholders to define requirements and deliver practical solutions
- Identify opportunities to improve automation, efficiency and tool quality
- Produce clear documentation covering code, architecture and deployment processes
Required Experience
- 3-8 years’ software engineering experience, ideally within engineering, industrial or scientific environments
- Strong hands-on experience developing production-ready applications in Python
- Exposure to AI/ML technologies or integration of data-driven components into software systems
- Experience deploying and supporting applications in production
- Familiarity with cloud platforms, preferably AWS
- Experience working with databases and structured or unstructured data
Required Skills
- Strong proficiency in Python for application development (Java experience beneficial)
- Solid understanding of software engineering best practices including testing, CI/CD, version control and maintainability
- Foundational understanding of AI/ML concepts such as data pipelines and model usage
- Experience with data analysis or statistical methods advantageous
- Strong communication skills and ability to work collaboratively within multidisciplinary teams
Education
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related discipline
This position offers the opportunity to take a technical leadership role in delivering scalable, AI-enhanced engineering tools within a complex engineering environment.
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