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Julia Experts in Munich

in minutes from over 15,000 CVs with the power of AI

Hire experts who build fast numerical code, scientific models, and data-heavy applications in Julia, from packages and testing to performance tuning and integration with Python or C. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Munich, who have recently used Julia

Verified expert

Volker Reisberger

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IT Consultant, IT Architect, Senior System Administrator and Lecturer

Sauerlach
Volker Reisberger

Last position:

Architect and Senior System Administrator at International Trading Company

  • Analysis and optimization of the VMware environment for operation in a critical infrastructure environment
  • Planning and execution of updates for the VMware and hardware environment in a critical infrastructure environment
  • Deployment of Skyline Health Diagnostics
  • Review of existing documentation
  • Training and onboarding of new internal staff
  • Support for migration and upgrade projects
  • Preparation for moving scripts in the virtualization environment to GitLab
  • Ticket handling with ServiceNow
Verified expert

Stephan Sahm

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Senior Data/ML Consultant & Technical Lead

München
Stephan Sahm

Last position:

Senior Data/ML Consultant & Technical Lead at Jolin.io

  • Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)

  • Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)

  • Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)

  • Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)

  • Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)

Verified expert

Julia Korner

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Startup Mentor

Munich
Julia Korner

Last position:

Startup Mentor at Freelancer / Startup Mentor

  • Part of the expert team of the FOUNDERS LEAGUE startup accelerator program
  • Running live workshops on brand development, market positioning, strategic communication, and e-commerce growth hacking
  • Supporting over 30 startups in customer acquisition and revenue growth
Verified expert

Narges Dastanpour Hosseinabadi

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Research Assistant

München
Narges Dastanpour Hosseinabadi

Last position:

Research Assistant at Munich University of Applied Sciences

  • Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance.

  • Developed an NLP-based medical note simplifier that transforms complex clinical instructions into plain, child-level English. Applied prompt engineering with Flan-T5 transformer models to extract patient-relevant actions and rephrase them into clear to-do items. Built dual Flask and Tornado backends with a printable web interface.

Verified expert

Caner Karaoğlu

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Synthetic Medical Dataset (MedGym)

Munich
Caner Karaoğlu

Last position:

Synthetic Medical Dataset (MedGym) at MedTank

  • Generated synthetic datasets for CXR, mammography, and distal radius fracture detection using GANs and diffusion, creating >50k synthetic images for benchmarking.
  • Ensured GDPR-compliant workflows and reproducibility, enabling dataset adoption for internal validation and academic collaboration.
  • Project highlighted in MedTank’s internal R&D showcase as a flagship synthetic data initiative.
Verified expert

Jana Janeva

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Master’s Thesis Candidate, Department for Functional Safety in Power Supply

München
Jana Janeva

Last position:

Master’s Thesis Candidate, Department for Functional Safety in Power Supply at BMW Group

  • Simulated electrical power steering (EPS) system in Dymola
  • Developed a simulation-based, system-dependent methodology employing Cauer thermal network modeling to characterize transient short-circuit failure behavior in power electronic components
  • Assessed failure criticality based on system state monitoring against ISO 26262 permissible operating limits
  • Experimentally validated simulation results through controlled short-circuit fault injection tests on EPS hardware, reducing the estimated Failure-In-Time (FIT) rate of the EPS system by up to 80%

Discover over 15,000 top freelancers

Statistics of experts using Julia

Aggregated from the professional profiles of matched freelancers.

Experience

15 years

Position duration

1.6 years

Positions per freelancer

12

Top business areas

Information Technology, Product Development, Quality Assurance

Top industries

Information Technology, Education, Professional Services

Bachelor's degree or higher

100%

Master's degree or higher

71%

Certifications per freelancer

1

Most common languages

German, English, Russian

Speak two or more languages

100%

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 1 2 3 4
<€800 €800-​1200 €1200+

The chart shows how the daily rates of freelancers in this technology in Munich 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 Munich using Julia

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 788 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €

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 Julia is Julia is a high-performance language for numerical work, simulation, and data-heavy applications. It suits teams that need readable code, fast execution, and flexible workflows for research or production systems.

Where it fits

  • Scientific and technical computing
  • Data analysis and machine learning workflows
  • Optimization, modeling, and simulation
  • Custom tooling for engineering teams
  • Services that need speed without giving up clarity

Common stack Strong Julia specialists work with the core language, packages, and package management through the Julia ecosystem. They often connect Julia with Python, C, or database layers, and they know how to keep code stable with testing, profiling, and clean module design.

When companies bring in experts Companies usually ask for freelance Julia expertise when internal teams need to move a model into production, rescue slow code, or add a specialist for a time-bound project. This is common in research groups, industrial analytics, finance, and engineering teams in Munich that need focused delivery without long hiring cycles.

What strong specialists do A good Julia professional writes code that is fast, easy to review, and simple to extend. They understand multiple dispatch, type behavior, performance traps, and the trade-offs between clean abstraction and execution speed.

Signs you need Julia help

  • Your current code is correct but too slow
  • You need a numerical model or simulation delivered cleanly
  • You want Julia to connect with existing systems
  • You need better tests, structure, or package setup
  • Your team needs a specialist who can work remote or on-site in Munich
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Frequently asked questions

Need clarity? These are the questions we hear most often about Julia.

Julia is often used for numerical computing, simulation, optimization, and data analysis where speed matters. Teams also use it for research code that needs to become maintainable production code. It is a strong fit when Python is convenient but not fast enough on its own.

Julia is closer to Python in day-to-day readability, but it is designed to run fast without moving core logic into another language. Compared with MATLAB, it is more open and easier to integrate into modern engineering stacks. Companies often choose it when they want one language for both exploration and performance-sensitive work.

A strong Julia specialist usually knows package management, testing, profiling, and how to work with numerical libraries. It helps if they can also bridge to Python, C, data sources, and deployment environments. That mix is often what turns a prototype into a reliable system.

A small analysis or script may only need a specialist with solid core language knowledge. A larger production system needs someone who understands performance tuning, code structure, and long-term maintainability. If the project touches simulation, optimization, or heavy data processing, deeper Julia experience matters.

Yes, many Julia experts can work remotely if the project has clear goals, data access, and a defined review process. On-site work in Munich can help when the task is tightly linked to stakeholders, research teams, or internal systems. The best setup depends on how much collaboration the work needs.

Julia freelancers often deliver model code, simulation workflows, data processing pipelines, package cleanup, and performance improvements. They may also document interfaces, write tests, or help move research code into a team-owned codebase. The deliverable is usually practical code that others can maintain.

Look for clear code, measured performance choices, and a good explanation of trade-offs. A strong Julia candidate can describe why they used a given data structure, how they tested it, and where the bottlenecks were. Past work with similar numerical or data-heavy problems is usually a good sign.

Yes, Julia is often referred to as JuliaLang in searches and discussions, especially when people want to distinguish it from other uses of the word. Most professionals still use the short name in day-to-day conversation. When you evaluate candidates, focus on real project work, package knowledge, and performance discipline.

The average hourly rate of freelancers in Munich, Germany who have used Julia in their recent projects is 99 €, which corresponds to a daily rate of about 788 € based on an 8-hour working day.

Of the freelancers in Munich, Germany who have used Julia in their recent projects, 100% hold at least a Bachelor's degree and 71% hold at least a Master's degree.

On average, freelancers in Munich, Germany who have used Julia in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.6 years.

The most common languages among freelancers in Munich, Germany who have used Julia in their recent projects are German (100%), English (100%), and Russian (25%).

The most common industries among freelancers in Munich, Germany who have used Julia in their recent projects are Information Technology (75%), Education (63%), and Professional Services (63%).

The most common business areas among freelancers in Munich, Germany who have used Julia in their recent projects are Information Technology (88%), Product Development (75%), and Quality Assurance (63%).

Main locations of FRATCH Experts, who have recently used Julia

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.

Countries:

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

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Philipp Thomaschewski

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