20 beste Stellen als machine learning engineer in berlin, be – aktuell auf Personalsuche

Machine Learning Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote
10x Team —Berlin
- 82 € – 132 € pro Stunde
- Homeoffice
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
AI Engineer (m/f/d) in B2B SaaS AI Startup
traide-ai —Berlin
- Vollzeit
- Informatik
- Master
- Bachelor
Direkt bewerben
14 Tage
Sr. Applied AI Engineer
Taktile —Berlin
- Vollzeit
- Hybrides Arbeiten
- Microsoft Excel
- Azure
- SQL
Robotics Engineer - AI
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Praktikum AI Engineer
Unity AG —Berlin
- Vollzeit
- Azure
- Englisch
- SQL
Senior Robotics ML Engineer
Realtime Robotics —Berlin
- Hybrides Arbeiten
- Microsoft Excel
- Doktorat
- Informatik
Direkt bewerben
8 Tage
AI Working Student (Werkstudent) (Project-Based )
YOONA Ventures GmbH —Berlin
- Datenbanken
- AWS
- Machine Learning
Senior AI Engineer
Bluefish AI —Berlin
- Hybrides Arbeiten
- Master
- Künstliche Intelligenz
- Führungserfahrung
Applied Scientist - LLM, Alexa Conversational Modelling Intelligence
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java
Senior Data Engineer on Databricks (m/w/d)
Würth IT GmbH —Berlin
- Azure
- Java
- SQL
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Data Scientist
Reflow —Berlin
- Vollzeit
- Homeoffice
- SQL
- Machine Learning
- Führungserfahrung
Direkt bewerben
JUNIOR GENAI ENGINEER (M/W/D)
Berlin, Hamburg, Köln, Frankfurt, Bremen, Gütersloh, München, Düsseldorf —Berlin
- Azure
- Englisch
- Master
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Robotics Engineer - Vision Language Action Model
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
AI ENGINEER (M/W/D)
Hannover, München, Düsseldorf, Gütersloh —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- AWS
Data Team Lead (incl. GenAI) (m/f/d)
Smartbroker AG —Berlin
- Vollzeit
- Informatik
- Java
- SQL
Direkt bewerben
Senior Applied Scientist, AWS Developer Tools Science
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- Master
- Flexible Arbeitszeiten
10 Std.
AI Engineer – Computer Vision, AI Agents & Model Deployment (Part-Time)
YOONA Ventures GmbH —Berlin
- Teilzeit
- Forschungserfahrung
- AWS
- Machine Learning
(Senior) ML/AI Engineer (m/w/d)
Ista SE —Berlin
- Vollzeit
- Azure
- Informatik
- Englisch
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
1 Tag
(JUNIOR) AI APPLICATION ENGINEER || AI PRODUCTS LLM & RAG (M/W/D)
Berlin, München, Hybrid —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme

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machine learning engineer jobs near berlin, be

Machine Learning Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote

10x Team
Berlin

Direkt bewerben

Details zur Stelle

Freie Mitarbeit
82 € – 132 € pro Stunde

Qualifikationen

Machine Learning
Künstliche Intelligenz

Vollständige Stellenbeschreibung

Updated: 07 July 2026

Freelance | 8–20 hrs/week | Remote (EU/UK)

Are you an experienced machine learning engineer who instinctively spots gaps in AI reasoning and understands the complex realities of ML practice? Do you have 8 to 20 hours per week available alongside your main job or consulting projects? Join us in shaping how AI understands and applies machine learning expertise at scale.

About the Role
10x.team connects expert freelancers with leading AI labs building next-generation models. We are looking for knowledgeable machine learning engineers based in the EU or UK to enhance the accuracy, depth, and real-world relevance of AI-powered systems.

What You Will Do

Review and refine AI-generated outputs related to machine learning, model development, implementation, and practical aspects of engineering work
Evaluate AI responses for technical accuracy, practicality, and compliance with real-world requirements
Draft realistic ML scenarios based on your direct professional experience
Create scenario variations from different perspectives (e.g. engineer, product manager, client, or stakeholder)
Identify gaps, oversights, or weak reasoning in AI-generated engineering content

In simple terms:
You will assess and improve AI-generated content, ensuring it reflects true ML engineering reasoning, authentic documentation, and practical procedures. Rather than conducting traditional engineering projects, you’ll apply your expertise to help AI systems understand and reason about the machine learning process at scale.

Who You Are

A senior-level machine learning engineer with significant professional experience within the EU or UK
Experienced in advising on, preparing, and executing machine learning projects and model deployments
Skilled at evaluating algorithms, implementation, and compliance with specifications
Comfortable working independently and providing structured, critical feedback
Available for 8–20 hours per week, with prompt availability

Why Join?

Flexible, fully remote freelance work that fits your current commitments
Apply your ML engineering expertise in a rapidly evolving, high-impact AI environment
Directly contribute to building advanced AI-powered engineering systems
Free access to our in-house AI Academy to further develop your AI skillset
Clear onboarding, structured tasks, and ongoing opportunities for collaboration

How to Apply:

After applying, you’ll receive an email detailing the steps to:

Complete a short written assessment
Participate in an AI-powered interview

Important: Your application is only complete once you finish all steps via the email link.

Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project.

NOTE

At 10x, there are two types of opportunities:

1. Traditional freelance missions
These are regular project-based opportunities where the listed mission is the actual project you may work on.

2. AI Lab roles
For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities.

The missions listed for AI Lab roles are not traditional job openings. AI Lab work is often highly confidential as this exposes information of what an AI Lab is working on, and project requests are unpredictable. When an AI Lab request comes in, we often need to respond within 24 hours with suitable talent.

Matching depends on the specific needs of each AI Lab project and your niche expertise. Once your profile is reviewed and approved, you may be matched to relevant AI Lab projects when suitable opportunities arise.

This can happen within hours, but it may also take months, depending on the researchers at the AI labs and their project needs.

Direkt bewerben

Erweiterte Suche

machine learning engineer Jobs in berlin, be

Machine Learning Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote

AI Engineer (m/f/d) in B2B SaaS AI Startup

Sr. Applied AI Engineer

Robotics Engineer - AI

Praktikum AI Engineer

Senior Robotics ML Engineer

AI Working Student (Werkstudent) (Project-Based )

Senior AI Engineer

Applied Scientist - LLM, Alexa Conversational Modelling Intelligence

Senior Data Engineer on Databricks (m/w/d)

Data Scientist

JUNIOR GENAI ENGINEER (M/W/D)

Robotics Engineer - Vision Language Action Model

AI ENGINEER (M/W/D)

Data Team Lead (incl. GenAI) (m/f/d)

Senior Applied Scientist, AWS Developer Tools Science

AI Engineer – Computer Vision, AI Agents & Model Deployment (Part-Time)

(Senior) ML/AI Engineer (m/w/d)

Data Engineer (all genders)

(JUNIOR) AI APPLICATION ENGINEER || AI PRODUCTS LLM & RAG (M/W/D)

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in berlin, be erhalten

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