Machine Learning Experts in Bremen
in minutes from over 15,000 CVs with the power of AI.Hire experts who can turn data into models, improve forecasting and classification, and connect machine learning with your existing systems. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Bremen, who have recently used Machine Learning
Danny-Michael Busch
Last position:
Senior AI Engineer at Just Add AI GmbH
- Automatic detection of content on various documents
- Recommendation Engine
- Dynamic Pricing
Doncho Panayotov
Last position:
AI Engineer / Data Scientist at Freelance
- Designed and implemented scalable data governance frameworks for healthcare, energy, and telecom enterprises.
- Architected data models in Azure Synapse & Power BI, enabling high-performance reporting and scalability.
- Led migration of legacy BI systems to cloud infrastructure, improving efficiency and resilience.
- Acted as a technical consultant, advising clients on architecture improvements and implementation strategies.
Nandini Venkatesh
Last position:
Senior Software Developer at Capgemini Technology Services Limited
- Designed and implemented secure backend services using Java, Spring Boot, and Hibernate, following microservice principles and RESTful standards.
- Implemented GraphQL-driven REST APIs to streamline backend services in a Gradle and Maven environment.
- Implemented OAuth2-based authentication and authorization mechanisms to secure RESTful APIs in Spring Boot applications.
Timo Schrader
Last position:
Developer (AL) & Consultant at IT service provider
- Development of an application suite for AppSource (7 apps) focusing on customs processing & compliance
Sadyk Akhzarati
Last position:
Conversion Marketing Lead at Storybox GmbH
- Strategic, technical and operational responsibility for the website
- Strategic, technical and operational responsibility for SEO
- Advisory role on paid media acquisition
- Responsible for collaboration with external service providers and agencies
Krishnanjan Pramanik
Last position:
Post-doctoral Researcher at University of Bremen
- Conduct quantum mechanical calculations within the Density Functional Theory (DFT) framework
- Perform molecular dynamics using machine learned force fields
- Participate in the Special Priority Program (SPP2315) of the German Research Foundation (DFG)
- Conduct DFT calculations on a large number of crystalline phases and predict their likelihood of formation in experiments
- Identify and synthesize two engineered artificial minerals (EnAM) to recover tantalum and cobalt from fayalite slag
- Work on molecular dynamics combined with machine learning and enhanced sampling techniques to investigate crystal nucleation and growth mechanisms from melt
- Collaborate closely with experimental partners
Hans Gedon
Last position:
Deal with Green AR
- Development of an e-learning platform as an app for Android and iOS
- Use of Unity to promote eco-friendly interaction with nature for teachers and students
Aghasaad Hafeez
Last position:
ICT / Telecom Freelance Consultant at Freelance Consultant
- Completed 60+ projects focused on GIS tools optimization and RF planning and optimization, nominal planning, and coverage gap analysis using advanced tools and digital maps research and ASSET planning technical support and training.
- Latest projects: Brazil rural coverage gap analysis and planning using population density maps and advanced GIS and ASSET planning software.
- Identified top 25 to 30 locations in the country with enough population to propose a new site out of 95 000 on-air sites of all operators.
- Used advanced GIS tools to identify all locations suitable for a new site.
- Completed and submitted report and presentation in June 2022.
- Used GIS tools on Sentinel-2 multiband images for classification of landuse classes and generating usable maps for MYRIAD model and planning tools.
- Proposed optimal plan for Angola in phases 1–3 covering ICT systems and optimization of customer-provided plans.
- Adapted new technologies and tools.
- Planning tools: ASSET (predictions, coverage, statistics) and ASSET Design.
- Mapping tools: QGIS, Global Mapper, MapInfo Pro, Google Earth.
- Database: Oracle Enterprise on Windows and Linux.
- Reporting: MS Word, Excel, PowerPoint.
- Implemented AI/Machine Learning via Python in GIS maps.
Discover over 15,000 top freelancers
Statistics of experts using Machine Learning
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 14 years)
Position duration
2.8 years
Positions per freelancer
13 (Germany: 8)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Retail, Energy
Certification focus areas
Information Technology, Research and Development, Business Intelligence
Bachelor's degree or higher
86% (Germany: 97%)
Master's degree or higher
57% (Germany: 77%)
Doctorate
14% (Germany: 19%)
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Bremen are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Bremen using Machine Learning
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Machine learning turns data into models that predict, classify, rank, or detect patterns. Companies use it for recommendations, demand forecasting, fraud checks, quality control, and text or image analysis. Strong experts know how to translate a business problem into a model that can be tested and measured.
Common stacks
- Python, scikit-learn, TensorFlow, PyTorch
- Feature engineering and model evaluation
- MLOps, model monitoring, and retraining
- Data pipelines and deployment into live systems
The right stack depends on the use case, data volume, and how the model will run in production. A good specialist does not just train a model; they make it usable, stable, and maintainable.
When teams hire
Companies bring in freelance machine learning specialists when an internal team needs extra depth, speed, or a second opinion. This often happens for new prototypes, model refactoring, performance tuning, or when a project has stalled because data quality or feature design is not clear.
What strong experts do
- Define the prediction target and success criteria
- Prepare data and remove leakage or bias traps
- Select a model that fits the problem, not the trend
- Validate results with clear tests and baselines
- Document limits so the team can maintain the solution
Strong professionals explain trade-offs in plain language. They can work with product, data, and engineering teams without turning the project into a black box.
Bremen use cases
In Bremen, machine learning work often supports industrial, logistics, maritime, and service workflows. Teams may need help on-site for sensitive data or workshop-heavy projects, while model development, review, and tuning can often happen remotely with German or English communication.
What to look for
Look for experts who have shipped models into real systems, not just notebooks. They should understand data preparation, validation, monitoring, and how machine learning fits with APIs, cloud services, or batch jobs. For many projects, the best choice is someone who can move between research, implementation, and production support.
Frequently asked questions
Curious about Machine Learning? Here are the answers that come up again and again.
Machine Learning is used to find patterns in data and turn them into predictions or decisions. Common uses include forecasting demand, scoring risk, recommending content, detecting anomalies, and classifying text, images, or events. A strong freelancer should be able to link the model to a real business process, not just train it in isolation.
Machine Learning focuses on models that learn patterns from data and improve with examples, while traditional analytics often summarizes what already happened. In practice, the two overlap, but machine learning is better suited for prediction, ranking, and automation at scale. The right expert should know when a simpler statistical approach is enough.
A strong Machine Learning specialist usually works with Python and libraries such as scikit-learn, TensorFlow, or PyTorch. For production work, knowledge of data pipelines, model tracking, and deployment tooling is just as important as the training framework. The exact stack depends on whether the project is classical ML, deep learning, or a mixed setup.
For a first Machine Learning project, you usually need someone who can reduce risk quickly and avoid common data mistakes. That does not always mean the most research-heavy profile; it means an expert who can scope the problem, choose a baseline, and validate results clearly. If the data is messy or the use case is critical, senior experience matters more.
Yes, much Machine Learning work can be done remotely from Bremen if the data access and communication setup are clear. Workshops, stakeholder interviews, and sensitive data reviews may still benefit from some on-site time. Many teams use a mixed approach so the expert can collaborate closely without being on location every day.
A good Machine Learning freelancer explains the problem, the data, the baseline, and the limits of the model in plain words. Ask for examples of models that reached production, how they were monitored, and how failures were handled. Good signs include clear validation, reproducible work, and honest trade-offs.
Machine Learning work often depends on data engineering, statistics, API integration, cloud setup, and MLOps. In many projects, the expert also needs to understand business logic, security constraints, and how the model will be maintained after launch. The strongest specialists can work across those boundaries without losing focus on the model itself.
Machine Learning is a core part of AI, focused on systems that learn from data. Data science is broader and includes analysis, visualization, experimentation, and communication, while AI can also cover rules-based systems or language models. When hiring, it helps to be clear whether you need prediction logic, analytical insight, or a full AI solution.
The average hourly rate of freelancers in Bremen, Germany who have used Machine Learning in their recent projects is 79 €, which corresponds to a daily rate of about 628 € based on an 8-hour working day.
Of the freelancers in Bremen, Germany who have used Machine Learning in their recent projects, 86% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Bremen, Germany who have used Machine Learning in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Bremen, Germany who have used Machine Learning in their recent projects are English (100%), German (88%), and Spanish (25%).
The most common industries among freelancers in Bremen, Germany who have used Machine Learning in their recent projects are Information Technology (63%), Retail (50%), and Energy (38%).
The most common business areas among freelancers in Bremen, Germany who have used Machine Learning in their recent projects are Information Technology (75%), Product Development (50%), and Business Intelligence (38%).
Main locations of FRATCH Experts, who have recently used Machine Learning
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!

Berlin
Hamburg
Munich
Cologne
Frankfurt
Stuttgart
Dusseldorf
Dortmund
Essen
Dresden
Hanover
Nuremberg