
201 - 500 employees
Founded 1997
💳 Fintech
🛍️ eCommerce
☁️ SaaS
Fintech • eCommerce • SaaS
GFN is a financial technology company that provides a comprehensive suite of payment solutions and financial services for businesses of all sizes. It enables companies to accept online and in-person payments, manage subscriptions and revenue streams, automate billing, and embed financial services within their platforms. GFN supports a wide range of industries by offering tools for financial automation and flexible payment processing tailored to meet the unique needs of e-commerce, SaaS, and marketplace businesses.
🔥 0 minutes ago
🗣️🇩🇪 German Required
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
Founded 1997
💳 Fintech
🛍️ eCommerce
☁️ SaaS
Fintech • eCommerce • SaaS
GFN is a financial technology company that provides a comprehensive suite of payment solutions and financial services for businesses of all sizes. It enables companies to accept online and in-person payments, manage subscriptions and revenue streams, automate billing, and embed financial services within their platforms. GFN supports a wide range of industries by offering tools for financial automation and flexible payment processing tailored to meet the unique needs of e-commerce, SaaS, and marketplace businesses.
• Discuss the next steps in product development with the Product Owner • Work with colleagues to drive the continued development of the platform • Take responsibility for the platform’s technical development and expansion • Technically assess requests for further development and implement them in the software • Collaborate professionally with all teams and stakeholders required for software operations • Take responsibility for building the technology stack • Develop product-oriented applications in the education sector, focusing on backend development, infrastructure, and robust software architecture • Apply machine learning, LLMs, and data-driven functionality pragmatically and with a strong focus on user needs
• At least 5 years of professional experience in software development • Experience with multiple applications or platforms used in production, ideally • Experience with LLM-based product features, prompting, retrieval systems, or multi-step AI workflows is a plus • Software development experience from before the current GenAI boom • Very strong Python skills • Solid experience in backend development, for example with Ruby on Rails, Django, FastAPI, or comparable frameworks • Experience with Docker, Kubernetes, CI/CD, Terraform, AWS, or Azure • Demonstrable hands-on experience implementing ML, NLP, or data-driven applications, such as classification, RAG, embeddings, pipelines, or model integration • Experience in complex specialist domains such as education, instructional design, knowledge management, healthcare, data platforms, or regulated environments is desirable • Independent, structured way of working with a strong commitment to quality • Fast learner with confident communication skills when working with both teams and specialist departments • Experience in technical leadership, mentoring, architectural decision-making, or close collaboration with Product Owners and stakeholders • Excellent German and English language skills
• Remote work from anywhere in Germany • Flexible working hours • 6 weeks of vacation per year • Employee discounts: attractive discounts from various providers • Internal and external professional development opportunities, including a fixed annual training budget • Company bicycle leasing program (JobRad) • Wellpass fitness and wellness membership • Subsidy for the Deutschland-Ticket • Subsidy for prescription computer glasses • Group accident insurance • Respectful, inclusive workplace free from bias • A diverse GFN team
Apply Now🕒 October 1
ML Engineer building antibody, co-folding, and developability models for Apheris’s federated pharmaceutical R&D networks. Turning research prototypes into production-ready drug discovery systems.
🕒 September 22
Machine Learning Engineer replacing biomechanical exercise rules with scalable keypoint-based deep-learning models. Deploying low-latency movement feedback on mobile medical devices.
🕒 July 7
Senior ML Engineer developing ML applications in structural biology within drug discovery at Apheris. Focusing on high-quality models using federated data networks for advancing drug design.
🕒 March 26
Machine Learning Engineer working on AI solutions for global enterprises, focusing on high-quality output and performance. Collaborating across teams to implement AI and machine learning technologies.
🇩🇪 Germany – Remote
💰 $12M Series A on 2021-06
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🕒 March 24
Machine Learning Engineer developing and deploying AI-driven security features for web protection at Blackwall. Collaborating with cross-functional teams to enhance the efficiency of security systems.
🇩🇪 Germany – Remote
💰 $49M Series B - BlackWall on 2025-03
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer