MARUM tech stack

MARUM builds mostly with Python, C++, Java, Kotlin. Its stack also includes DGL, PyTorch, Linux, MLFlow. Python is named in 4 of the 6 job postings MARUM published in the last 12 months (67%). Counted by Alion from the job postings of MARUM, updated Oct 4, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 4, 2026
Technologies in use
35
Postings analysed
6
Open now
6
Modernity
75 /100
New in 6 months
7

What programming languages does MARUM use?

Python is named in 67% of job postings at MARUM, followed by C++ (17%), Java (17%), Kotlin (17%).

Python 4 67% required in 75% · 4 open now · since Jan 2026
C++ 1 17% optional · 1 open now · since Sep 2026
Java 1 17% optional · 1 open now · since Sep 2026
Kotlin 1 17% optional · 1 open now · since Sep 2026
Rust 1 17% optional · 1 open now · since Sep 2026
SPSS 1 17% optional · 1 open now · since Sep 2026

What frameworks and libraries does MARUM use?

DGL is named in 33% of job postings at MARUM, followed by PyTorch (33%), Ray (33%), Asyncio (17%).

DGL 2 33% required in 100% · 2 open now · since Sep 2026
PyTorch 2 33% required in 100% · 2 open now · since Sep 2026
Ray 2 33% required in 100% · 2 open now · since Sep 2026
Asyncio 1 17% required in 100% · 1 open now · since Sep 2026
Dask 1 17% required in 100% · 1 open now · since Sep 2026
PyTorch C++ 1 17% required in 100% · 1 open now · since Sep 2026
Pytest 1 17% required in 100% · 1 open now · since Sep 2026
Scikit-learn 1 17% required in 100% · 1 open now · since Sep 2026
Show all (10)
JAX1
OpenTelemetry1

What cloud and platforms does MARUM use?

Linux is named in 17% of job postings at MARUM, followed by MLFlow (17%), Weights & Biases (17%), Kubernetes (17%).

Linux 1 17% required in 100% · 1 open now · since Sep 2026
MLFlow 1 17% required in 100% · 1 open now · since Sep 2026
Weights & Biases 1 17% required in 100% · 1 open now · since Sep 2026
Kubernetes 1 17% optional · 1 open now · since Sep 2026

What developer tools does MARUM use?

Docker is named in 17% of job postings at MARUM, followed by Prometheus (17%), Terraform (17%).

Docker 1 17% optional · 1 open now · since Sep 2026
Prometheus 1 17% optional · 1 open now · since Sep 2026
Terraform 1 17% optional · 1 open now · since Sep 2026

What AI and ML technologies does MARUM use?

LLM is named in 33% of job postings at MARUM.

LLM 2 33% required in 100% · 2 open now · since Sep 2026

Which engineering practices does MARUM ask for?

Machine Learning is named in 67% of job postings at MARUM, followed by Digital Twin (33%), Knowledge Graph (33%), LLM Evaluation (33%).

Machine Learning 4 67% required in 100% · 4 open now · since Jan 2026
Digital Twin 2 33% required in 100% · 2 open now · since Sep 2026
Knowledge Graph 2 33% required in 100% · 2 open now · since Jan 2026
LLM Evaluation 2 33% required in 100% · 2 open now · since Sep 2026
World Models 2 33% required in 100% · 2 open now · since Sep 2026
GNN 1 17% required in 100% · 1 open now · since Sep 2026
Human-in-the-Loop 1 17% required in 100% · 1 open now · since Jan 2026
Interpretability 1 17% required in 100% · 1 open now · since Jan 2026
Show all (11)
NLP1
RLHF1
Time Series Forecasting1

What does each MARUM team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Early Careers

3 postings
DGL2
LLM2
PyTorch2
Python2

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How is the MARUM stack changing?

Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.

First appeared
DGLSep 2026
Digital TwinSep 2026
LLMSep 2026
LLM EvaluationSep 2026
PyTorchSep 2026
World ModelsSep 2026
RaySep 2026
Not named for 6 months
Knowledge GraphJan 2026

How modern is the MARUM stack?

Cutting-edge AI adopter 75/100

MARUM scores 75 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How common is the MARUM stack in its industry?

Share of the 123 companies in the same industries, whose stack Alion knows, that use each technology.

Python42%
DGL1%
LLM10%
PyTorch4%
Ray2%
Asyncio2%
C++10%
Dask1%
JAX1%
Java11%

Questions about the MARUM tech stack

What programming languages does MARUM use?

The languages named in MARUM job postings are Python (67%), C++ (17%), Java (17%), Kotlin (17%), Rust (17%), as a share of the 6 postings of the last 12 months.

Does MARUM use DGL?

Yes. DGL is named in 2 of 6 job postings (33%) and required in 2 of them.

What cloud and platforms does MARUM use?

The cloud and platforms named in MARUM job postings are Linux (1), MLFlow (1), Weights & Biases (1) (postings in brackets).

What skills do you need for a Early Careers job at MARUM?

Early Careers postings at MARUM most often require DGL (2), LLM (2), PyTorch (2), Python (2), out of 3 postings in the last 12 months.

Is the MARUM tech stack changing?

Yes. DGL, Digital Twin, LLM, LLM Evaluation first appeared in MARUM job postings in the last six months.

How modern is the MARUM tech stack?

MARUM scores 75 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How does Alion know the MARUM tech stack?

Alion reads every job posting MARUM publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Oct 4, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "MARUM tech stack: 35 technologies from 6 job postings", as of Oct 4, 2026. https://alion.io/company/marum/technologies

Licence: CC BY-SA 4.0JSON