ML / AI Jobs in Germany
There are 288 open ML / AI jobs in Germany on freehire right now. 47 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 78%
- ai 61%
- python 58%
- pytorch 36%
- cloud 29%
- deep-learning 25%
- mlops 24%
- llm 23%
How the work is done
- Hybrid 41 · 14%
- Remote 41 · 14%
- Onsite 21 · 7%
Visa sponsorship offered in 73% of the 44 postings that state a position on it.
Seniority
- Senior 95
- Intern 16
- Principal 13
- Junior 6
- Staff 6
- Lead 5
Who is hiring
- 501-1000 employees 32
- 1000+ employees 30
- 11-50 employees 20
- 51-200 employees 11
- 201-500 employees 2
- 1-10 employees 1
Working Student - Machine Learning/Agentic Systems
This working student role involves designing agentic physical AI systems, training and deploying deep learning models, and experimenting with multisensor datasets.
Senior Machine Learning Engineer - (Logistics, Optimization)
Senior ML Engineer building and maintaining scalable ML model services and infrastructure for real-time vehicle routing optimization that powers dispatch decisions across a global delivery platform.
AI/ML Engineer
Builds AI/ML models for digital health therapies using longitudinal health data to predict risks and personalize care, spanning full ML lifecycle from pipelines to production integration in a regulated SaMD environment.
AI Founding Engineer: RF Machine Learning (SIGINT) (f/m/d)
Develops AI models that analyze raw RF/I/Q data for SIGINT/COMINT, designing detection/classification systems for real-world deployment on constrained hardware while shaping Datacept’s RFML research direction.
Werkstudent KI & Machine Learning (m/w/d) - Praxisprojekt „KI-gestützte Beschaffungsdisposition“
Working student role applying AI and Machine Learning to build an intelligent procurement planning solution, automating demand forecasting and optimizing purchasing decisions using Microsoft Azure and modern forecasting methods.
DevOps/ML Engineer
The DevOps/ML Engineer role at Machine Learning Reply in Germany focuses on bridging the gap between machine learning development and operations.
DevOps/ML Engineer | Junior
The Junior DevOps/ML Engineer role at Machine Learning Reply involves working at the intersection of machine learning and infrastructure operations in Germany.
ML Engineer
The ML Engineer will productionize NLP, audio, and document models for the Orcrist Intelligence Platform using Kubernetes, Triton, and KServe. The role involves building evaluation pipelines, managing inference infrastructure, and collaborating with research teams to deploy models for defense and enterprise clients.
Senior Machine Learning Engineer (all genders) - PDR.cloud GmbH
Own the full ML lifecycle—data analysis, model development, and production pipelines—at a Berlin SaaS company building cloud software for automotive repair shops, using Python, SQL, and cloud platforms.
Founding ML Engineer (Spectrum)
Build and own the ML/LLM stack for Spectrum, JetBrains’ AI-powered semantic layer that extracts, organizes, and reasons over code, docs, and issues to keep software systems aligned.
AI/ML Specialist Solutions Architect
Designs and advises on scalable AI cloud solutions for enterprise customers, focusing on distributed training and inference pipelines using PyTorch, JAX and Kubernetes.
Senior ML Engineer (Token Factory)
Senior ML Engineer at Nebius building and optimizing large-scale AI inference and fine-tuning platforms for foundation models using JAX and modern hardware.
Senior ML Engineer (Token Factory)
Senior ML Engineer at Nebius builds and optimizes high-performance inference and fine-tuning platforms for large language models across tens of thousands of GPUs, focusing on throughput, latency, and cost-per-token.
Machine Learning Engineer
Machine Learning Engineer building high-fidelity digital twins for reinforcement learning simulations to enable real-time factory planning and manufacturing optimization, based in Berlin.