Machine Learning Engineer - NLP (m/f/d) at Merantix Momentum

✨ The Stack take on this Merantix Momentum job

• 🏢 Merantix Momentum has 8 jobs here, 5 with visa sponsorship see all
• 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
• 💡 No salary shown. Ask Merantix Momentum if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

What we do Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including manufacturing, healthcare, the German public sector, and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions. Your role Are you passionate about developing impactful applications of Machine Learning? The mission of this role is to bring state-of-the-art deep-learning methods to real-world applications from ideation and prototyping to production. These will be your main responsibilities: Leading major projects Scope machine learning projects and their technical feasibility through client interaction Contribute to the next generation AI stack and grow the open source ecosystem Collaborate with data-, backend-, and frontend engineers in order to build production-ready AI solutions Design and implement machine learning solutions for real-world use cases Your profile The ideal candidate is proficient in software engineering and modern machine- and deep-learning technologies, with a solid understanding of machine learning theory and fundamentals. You take technical ownership of machine learning solutions and can lead NLP projects from ideation to production. MSc/PhD in computer science, machine learning, or a related technical field - or equivalent practical experience Strong programming skills in Python Hands-on experience designing and implementing modern NLP solutions, particularly Retrieval Augmented Generation (RAG) or agentic systems, with a solid understanding of their underlying principles. Experience with training and fine-tuning neural networks is a plus Appreciation for sound engineering practices such as version control, clean code, code reviews, testing, CI/CD, and automation Ability to make architectural decisions and drive projects independently Ability to interact with clients and stakeholders to understand their problems, contribute to solution design, and clearly explain complex technical concepts Fluency in English and German What we offer Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs. International Team: We are a dynamic and international team. We offer Visa Sponsorship. Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation. Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy as well as working hours. AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team. Brand new office space: Bright and open office situated on the AI Campus in Berlin. Hardware allowance: We give you support to have all the equipment you would need to thrive on your job. Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club) or groceries (Edenred).

Responsibilities

The mission involves bringing state-of-the-art deep-learning methods to real-world applications from ideation through production, which includes leading major projects and scoping technical feasibility via client interaction. Responsibilities also cover contributing to the next generation AI stack and collaborating with engineers to build production-ready AI solutions.

Requirements

The ideal candidate must be proficient in software engineering and modern machine/deep-learning technologies, possessing a solid grasp of ML theory and the ability to lead NLP projects from concept to deployment. Required qualifications include an MSc/PhD or equivalent experience, strong Python skills, and hands-on experience with modern NLP solutions like RAG or agentic systems.

Key skills

• Software Engineering — in 194 other listings on The Stack
• Machine Learning — in 291 other listings on The Stack
• Deep Learning — in 50 other listings on The Stack
• Python — in 1200 other listings on The Stack
• NLP — in 26 other listings on The Stack
• Retrieval Augmented Generation (RAG) — not in any other listing on The Stack
• Agentic Systems — in 26 other listings on The Stack
• Neural Networks — in 6 other listings on The Stack
• Version Control
• Clean Code
• Code Reviews
• Testing
• CI/CD
• Automation
• Client Interaction
• Architectural Decisions

On The Stack (as of 2026-11-05)

• Merantix Momentum has 7 other listings on The Stack, 5 of them marked as offering visa sponsorship.
• 166 visa-sponsored jobs in Germany on The Stack, posted in the last 60 days.
• 29 visa-sponsored machine learning engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Merantix Momentum

Is this Machine Learning Engineer - NLP (m/f/d) role still open?

It was posted on 2026-02-13. Listings more than 30 days old may no longer be active, so check Merantix Momentum's site before applying.

Where is this role located?

The listing gives the location as Berlin, DE, Germany.

What skills does this role ask for?

The listing names: Software Engineering, Machine Learning, Deep Learning, Python, NLP, Retrieval Augmented Generation (RAG), Agentic Systems, Neural Networks, Version Control, Clean Code, Code Reviews, Testing, CI/CD, Automation, Client Interaction, Architectural Decisions.