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Develops Python-based backend services and APIs while supporting machine learning deployment, application containerisation, debugging and system performance optimisation.
Job Summary
We’re looking for a Software Engineering Intern with a strong foundation in Python and a broad interest across different areas of software engineering. This role is suited for someone who enjoys solving diverse technical problems—from backend development to machine learning and performance optimization. You’ll work on real-world systems and contribute across multiple domains, rather than being confined to a single specialization.
About the Team
We are a diverse and dynamic group of Software Engineering professionals based across Crawley, Houston and Singapore.
We work together to combining our expertise across regions to drive innovation and impactful results. Our team values collaboration, continuous learning, and innovation, and we take pride in supporting each other to achieve shared goals.
Key Responsibilities
Develop and maintain backend services and APIs using Python
Support the development and deployment of machine learning models
Work on debugging, performance tuning, and system optimization
Containerize applications and improve development/deployment workflows
Collaborate on system design and implementation across teams
Write clean, efficient, and well-documented code
Qualifications:
Required:
Strong proficiency in Python (this is the primary language used)
Hands-on experience with Docker (building images, writing Dockerfiles, running containers)
Good understanding of data structures, algorithms, and software engineering fundamentals
Familiarity with backend development concepts (APIs, databases, services)
Ability to work across different areas of software
Strong problem-solving skills and attention to detail
Preferred:
Strong problem-solving skills and attention to detail
Experience with Kubernetes (K8s)
Familiarity with cloud platforms (AWS, GCP, or Azure)
Exposure to machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn, langgraph, vllm)
Understanding of system performance, concurrency and optimization techniques
Experience with CI/CD pipelines or DevOps practices
Why work with us?
Hands-on experience on high-impact projects
Mentorship from industry experts
Opportunities for professional growth and networking.
Bank Holiday Swap – change your public holiday for another day of your choice!
Visa sponsorship and comprehensive relocation packages available.
Relaxed dress code policy.
Learning and Development
At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.
We Care about the Environment
We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.
How to apply
Apply directly through the company website. Clicking the link below will open the application page in a new window.

Location: Massy, France
Industry: Energy - Oil, Gas & Renewables
Viridien is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Building on our achievements and track record of innovation, Viridien continues to serve its clients in the energy industry with a unique portfolio of solutions across its core businesses of Geoscience, Earth Data and Sensing & Monitoring. As it accelerates its growth as an advanced technology company, Viridien has new offerings in the Low-Carbon markets of Minerals & Mining and Carbon Capture and Storage (CCS), and markets beyond energy in High-Performance Computing (HPC) and Infrastructure Monitoring.
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