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Nlp jobs in United Arab Emirates

Machine Learning Engineer (NLP) (all)

Sonia

Berlin
Hybrid
EUR 70,000 - 95,000
Yesterday
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Senior AI Engineer

Bluefish AI

Germany
Hybrid
EUR 60,000 - 80,000
2 days ago
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Senior Applied Scientist – Research Products

PowerToFly

Germany
Remote
EUR 119,000 - 222,000
Yesterday
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Lead Applied Scientist, NLP

PowerToFly

Germany
Remote
EUR 147,000 - 273,000
Yesterday
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Principal Applied Scientist, Agentic AI

PowerToFly

Germany
Remote
EUR 154,000 - 261,000
Yesterday
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Abschlussarbeit Data Science (m/w/d)

Vetter Pharma-Fertigung GmbH & Co. KG

Ravensburg
Hybrid
EUR 60,000 - 80,000
Yesterday
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Sr. Generative AI & Machine Learning Engineer

PowerToFly

Germany
Remote
EUR 70,000 - 90,000
Yesterday
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Senior Data & AI Consultant (f/m/d) (München, DE)

-

München
Hybrid
EUR 60,000 - 80,000
Yesterday
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Lead Applied Scientist

PowerToFly

Germany
Remote
EUR 86,000 - 109,000
Yesterday
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Entwickler für Prozessautomatisierung und KI (React, Python)

emploio

Düsseldorf
Hybrid
EUR 55,000 - 65,000
2 days ago
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Professorship in Data Science and Artificial Intelligence (mfd)

XU Exponential University of Applied Science

Potsdam
On-site
EUR 50,000 - 70,000
2 days ago
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Agentic AI Engineer

CUBE

Berlin
Hybrid
EUR 70,000 - 90,000
2 days ago
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Senior Agentic AI Engineer

CUBE

Berlin
Hybrid
EUR 70,000 - 90,000
2 days ago
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Staff Machine Learning Scientist

Zendesk

Horgenzell
Hybrid
EUR 80,000 - 100,000
4 days ago
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Lecturer Applied Artificial Intelligence Introduction to NLP (m/f/d)

Karlstad University

Bad Honnef
On-site
EUR 40,000 - 60,000
5 days ago
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Senior Data Scientist II – Therapeutic Modality Insights & Competitor Intelligence (all genders)

Allergan

Ludwigshafen am Rhein
On-site
EUR 70,000 - 90,000
4 days ago
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AI Data Scientist (m/f/d)

Douglas

Düsseldorf
Hybrid
EUR 60,000 - 80,000
5 days ago
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Voice AI Engineering Principal

Zendesk

Berlin
Hybrid
EUR 100,000 - 140,000
10 days ago

(Senior) Data Architect / Data Engineer – Focus NLP (all genders)

STATWORX GmbH

Frankfurt
Hybrid
EUR 65,000 - 85,000
9 days ago

AI Specialist (w/m/d)

IT-Systemhaus der Bundesagentur für Arbeit

Weimar
On-site
EUR 60,000 - 80,000
Yesterday
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Data Scientist (m/f/d)

ArianeGroup

Taufkirchen
On-site
EUR 60,000 - 80,000
Yesterday
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Ohne Berufserfahrung durchstarten - Werde IT-Salesmanager & CRM Experte (IHK) (m / w / d) - 100[...]

F - Education GmbH

Rüsselsheim am Main
Remote
EUR 40,000 - 60,000
Yesterday
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Senior Manager, Partner Communications AI

PowerToFly

Germany
Remote
EUR 187,000 - 301,000
Yesterday
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Senior AI Model Developer (f/m/x)

Bayerische Motoren Werke Aktiengesellschaft

München
On-site
EUR 80,000 - 100,000
Yesterday
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Data & AI Senior Consultant / Project Manager Azure / Cloud (m / w / d)

INFOMOTION GmbH

Seligenstadt
Hybrid
EUR 80,000 - 100,000
Yesterday
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Nlp Engineer jobs
Machine Learning Engineer (NLP) (all)
Sonia
Berlin
Hybrid
EUR 70.000 - 95.000
Full time
Yesterday
Be an early applicant

Job summary

A leading healthcare AI company in Berlin seeks a Machine Learning Engineer (NLP) to enhance healthcare solutions. The role involves optimizing and deploying NLP models and requires strong Python programming skills and extensive ML experience. Candidates should have a Master's degree and a background in production MLOps. The position offers a flexible hybrid work arrangement along with competitive salary and 30 days of vacation. If you want to impact healthcare with AI, we would love to meet you!

Benefits

30 days of annual vacation
Competitive salary depending on experience
Flexible working arrangements

Qualifications

  • 5-8+ years of experience in ML engineering or related fields.
  • Experience with deep learning language models, such as transformers.
  • Knowledge of multilingual or domain-specific language modeling is a plus.

Responsibilities

  • Fine-tune, evaluate, and deploy NLP models.
  • Apply NLP methods for text processing and analysis.
  • Collaborate with cross-functional teams to translate solutions into production.

Skills

Python programming
ML frameworks (PyTorch, Hugging Face Transformers, NLTK, spaCy)
NLP methods knowledge
MLOps pipeline experience (Docker, MLflow, W&B)
Deep learning language models
Collaboration with cross-functional teams
English proficiency

Education

Master’s degree in Computer Science, Engineering, or related field

Tools

Docker
Kubernetes
Job description

Let me introduce...
With Sonia, doctors are successful doctors. We create and deploy AI-enhanced solutions that make doctors’ lives easier, patients’ care better, and healthcare systems more efficient. If you’re an intrinsically motivated self-starter who values impactful work, join us in revolutionizing healthcare.

We’re looking for a Machine Learning Engineer (NLP) (all)

To join our AI team to help advance the future of healthcare. You will work on speech recognition systems that power real-world applications used by clinicians every day.

This role can be performed in a hybrid setup from our offices in Luxembourg or Berlin, or remotely from anywhere in Germany or Luxembourg.

This Is What You’ll Own
  • Model Optimization & Deployment: Fine-tune, evaluate, and deploy state-of-the-art NLP models.
  • NLP Application: Apply NLP methods for text processing and analysis.
  • MLOps Collaboration: Work with the MLOps team to ensure continuous training for models in production.
  • Experimentation: Design and conduct experiments to validate new methods.
  • Data Pipelining: Build and maintain language preprocessing workflows.
  • Cross-Functional Impact: Collaborate closely with product managers, other ML engineers, and developers to translate the solutions into production.
You’ll thrive in this role if you bring
Must Haves
  • Education: Master’s degree in Computer Science, Engineering, or a related technical field or equivalent industry experience.
  • Experience: Typically 5-8+ years of experience in ML engineering or related fields.
  • Technical Proficiency: Strong programming skills in Python and ML frameworks (PyTorch, Hugging Face Transformers, NLTK, spaCy).
  • NLP Specialization: Experience with deep learning language models, including transformers, NER, and tokenizers.
  • Production ML Experience: Experience with MLOps pipeline components (Docker, MLflow, W&B).
Nice to Have
  • Domain Knowledge: Knowledge of multilingual or domain-specific language modeling (medical/legal and other specialized fields).
  • Scalability: Experience with distributed training systems.
  • Orchestration: Knowledge of Kubernetes.
  • Language Skills: English full proficiency, German/French/Italian is a plus.
Why you’ll love working with us
  • Full ownership of impactful ML components in a fast-growing AI environment.
  • A collaborative team that values curiosity, learning, and pragmatic problem-solving.
  • Flexible working arrangements (remote or hybrid).
  • 30 days of annual vacation.
  • Competitive salary depending on experience.
  • The chance to work on products that directly shape the future of healthcare.
Ready to apply?

If you’re passionate about Machine Learning and want to make an impact in healthcare with cutting-edge AI technologies, we’d love to hear from you! I’m Margarita and will be guiding you through the application process.

About Us

At Sonia, we’re building more than just a product — we’re building a team that helps doctors succeed with the power of AI. To grow and shape the future of healthcare, we’re looking for people who want to create, challenge, and collaborate — and have fun while doing it.

We believe teams thrive when different perspectives come together and work toward a shared goal. We welcome and respect everyone for who they are, regardless of origin, gender, age, religion, disability, or sexual identity. We’re excited to meet people from all backgrounds who want to bring their unique perspective to our mission.

Are you in?

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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