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Machine Learning jobs in Germany

Machine Learning Scientist (w/m/d) - Hybrid

Dida

Berlin
Hybrid
EUR 50,000 - 80,000
30+ days ago
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IAM / PAM Specialist*

Berenberg

Hamburg
On-site
EUR 70,000 - 100,000
30+ days ago

Machine Learning Engineer

ai|coustics

Berlin
On-site
EUR 70,000 - 100,000
30+ days ago

Machine Learning Software Engineer – Optimization & LLM Development (m/f/x)

Nia Health GmbH

Frankfurt
On-site
EUR 60,000 - 85,000
30+ days ago

Senior IT Architect (all genders) - BCG Platinion

ZipRecruiter

Berlin
On-site
EUR 60,000 - 90,000
30+ days ago
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Dual study bachelor's degree courses Computer Science with a focus on Machine Learning 2026 (m/f/d)

Freudenberg Group

Germany
On-site
EUR 60,000 - 80,000
30+ days ago

Duales Studium B. Sc. Data Science und Künstliche Intelligenz in Ingelheim 2026

Boehringer Ingelheim Pharmaceuticals, Inc

Germany
On-site
EUR 30,000 - 40,000
30+ days ago

Fullstack Software Engineer

Houston Texans

Berlin
On-site
EUR 60,000 - 80,000
30+ days ago
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(Senior) Data Scientist Analytics (m/w/d)

REWE Group

Germany
On-site
EUR 60,000 - 100,000
30+ days ago

Senior Data Scientist (m/w/d)

FINCON Unternehmensberatung GmbH

Germany
Remote
EUR 60,000 - 100,000
30+ days ago

Lead AI/ Machine Learning Engineer

Cavendish Professionals

Berlin
On-site
EUR 80,000 - 120,000
30+ days ago

Bachelor/Master Thesis SW Solutions Radar

NXP Semiconductors

Dresden
On-site
EUR 30,000 - 50,000
30+ days ago

Machine Learning Engineer (m/f/d)

ResearchGate

Berlin
On-site
EUR 60,000 - 100,000
30+ days ago

Senior Consultant / Manager (Gen) AI & Data Scientist | AI Garage (m/w/d)

Capgemini Invent

Germany
On-site
EUR 60,000 - 100,000
30+ days ago

Senior AI & GenAI Architect (w/m/x)

NTT DATA Deutschland SE

Germany
On-site
EUR 60,000 - 100,000
30+ days ago

Machine Learning Engineer – NLP, LLMs, Python – Remote – €100,000

NLP PEOPLE

Essen
Remote
EUR 55,000 - 85,000
30+ days ago

Projekt-/Abschlussarbeit: Datenanalyse mittels KI für die vorausschauende Instandhaltung

AL-KO KOBER SE

Jettingen-Scheppach
On-site
EUR 40,000 - 70,000
30+ days ago

Berater:in Data Science mit Fokus Advanced Analytics & AI

meta finanz

Germany
On-site
EUR 60,000 - 100,000
30+ days ago

Machine Learning Engineer

Reliant AI

Berlin
On-site
EUR 60,000 - 100,000
30+ days ago

Machine Learning Engineer (Python, REST, ML Ops)

Wasteer

Berlin
On-site
EUR 50,000 - 80,000
30+ days ago

AI Prompt Evaluators with Swahili | On-site in Essen

TELUS International

Germany
On-site
EUR 40,000 - 60,000
30+ days ago

AI Prompt Evaluators with Croatian | On-site in Essen

TELUS International

Germany
On-site
EUR 30,000 - 60,000
30+ days ago

AI Prompt Evaluators with Hungarian | On-site in Essen

TELUS International

Germany
On-site
EUR 35,000 - 55,000
30+ days ago

AI Prompt Evaluators with Slovak | On-site in Essen

TELUS International

Germany
On-site
EUR 40,000 - 60,000
30+ days ago

AI Prompt Evaluators with Ukrainian | On-site in Essen

TELUS International

Germany
On-site
EUR 30,000 - 60,000
30+ days ago

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E Learning jobsLearning Development jobs
Machine Learning Scientist (w/m/d) - Hybrid
Dida
Berlin
Hybrid
EUR 50.000 - 80.000
Full time
30+ days ago

Job summary

A leading machine learning software company in Berlin is seeking a Machine Learning Scientist. The role involves applying advanced algorithms in computer vision and NLP, collaborating with a skilled team, and contributing to innovative projects. Candidates should have a strong academic background and a passion for solving real-world problems through research-oriented thinking.

Benefits

Flexible working hours
Hybrid work model
Collaborative learning environment
Support for publishing research results

Qualifications

  • MSc or PhD in mathematics or physics required.
  • Experience in deep learning is a bonus.
  • Solid programming experience, preferably in Python.

Responsibilities

  • Support the team in applying cutting-edge machine learning algorithms.
  • Experiment with model architectures for specific projects.
  • Stay updated with advances in machine learning research.

Skills

Problem Solving
Machine Learning
Deep Learning
Programming
Computer Vision
Natural Language Processing

Education

MSc or PhD in Mathematics
MSc or PhD in Physics

Tools

Python
Job description
Machine Learning Scientist (w/m/d) - Hybrid
Permanent employee,Full or part-time· Berlin
Your mission

dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently.

You will

  • support the dida team in applying cutting-edge machine learning algorithms
  • experiment with model architectures to find the best solution for each specific project
  • keep up to date with advances in machine learning research and actively take part in our company’s collaborative learning and development environment.

Your Profile

You have

  • a MSc or PhD in mathematics or physics
  • a creative mind that likes to solve problems
  • interest in modern machine learning approaches (experience in deep learning is a bonus)
  • solid programming experiences (Python is a bonus)
Minimum type of documents to attach:
  • CV (mandatory)
  • (Uni) Degree(s) (mandatory)
  • Transcripts (where applicable)
  • Project / Code Examples / Portfolio (optional)

Why us?

You will work with an interdisciplinary team of people with a solid background in mathematics and statistics. We offer flexible working hours (full and part time) and have a nice office with good coffee in Berlin Schöneberg. We prefer a hybrid work model, but are open to remote work. We believe in science and support with publishing your research results.
Here are short descriptions of some projects we have worked on:

Estimate the amount of solar panels that fit on a roof (computer vision):
Given a satellite picture and a ground image of a house, automatically detect certain elements of a roof (including obstacles, dormers etc.) in order to find out how many solar panels fit on it. This involves inferring 3d information from 2d pictures in order to infer the roof pitch.
Detect, classify and suggest legal effectiveness of text paragraphs (NLP):
Automatically go through thousands of legal documents with the goal to classify dedicated paragraphs and check their legal effectiveness. This involves converting scans to text, coming up with a labelling scheme (problem modeling), and detecting different paragraphs automatically, before tackling the inference task.

dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently.

At dida, we stand for equal opportunities, regardless of gender, nationality, ethnic background or disability. We encourage everyone, especially women, people of color, and people with disabilities to apply at dida.

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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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