UL Research Institutes tech stack
UL Research Institutes builds mostly with Python, SQL, Fortran, Java. Its stack also includes AWS, Azure, PostgreSQL, Snowflake. Python is named in 7 of the 19 job postings UL Research Institutes published in the last 12 months (37%). Counted by Alion from the job postings of UL Research Institutes, updated Sep 27, 2026.
What programming languages does UL Research Institutes use?
Python is named in 37% of job postings at UL Research Institutes, followed by SQL (21%), Fortran (5%), Java (5%).
What frameworks and libraries does UL Research Institutes use?
NumPy is named in 5% of job postings at UL Research Institutes, followed by PyTorch (5%), Scikit-learn (5%), TensorFlow (5%).
What databases does UL Research Institutes use?
PostgreSQL is named in 5% of job postings at UL Research Institutes, followed by Snowflake (5%).
PostgreSQL
1 5%
Snowflake
1 5%
What cloud and platforms does UL Research Institutes use?
AWS is named in 32% of job postings at UL Research Institutes, followed by Azure (26%), GCP (11%), Databricks (5%).
What developer tools does UL Research Institutes use?
Adobe Photoshop is named in 11% of job postings at UL Research Institutes, followed by Terraform (11%), Ansible (5%), Azure Data Factory (5%).
Adobe Photoshop
2 11%
Terraform
2 11%
Ansible
1 5%
Claude Code
1 5%
CloudFormation
1 5%
Docker
1 5%
Git
1 5%
What AI and ML technologies does UL Research Institutes use?
LLM is named in 11% of job postings at UL Research Institutes.
LLM
2 11%
Which engineering practices does UL Research Institutes ask for?
CI/CD is named in 21% of job postings at UL Research Institutes, followed by Machine Learning (16%), Digital Twin (11%), NLP (11%).
CI/CD
4 21%
NLP
2 11%
AI Agents
1 5%
Show all (11)
What does each UL Research Institutes team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
7 postingsSolutions
3 postingsHow does your stack fit UL Research Institutes?
How much does UL Research Institutes pay by technology?
Median stated pay of the postings that name each technology, against the median of all UL Research Institutes postings with stated pay: $149k across 19 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 7 | $123k | −17% |
| AWS | 6 | $164k | +10% |
| Azure | 5 | $164k | +10% |
How is the UL Research Institutes 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.
How modern is the UL Research Institutes stack?
UL Research Institutes scores 80 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 UL Research Institutes stack in its industry?
Share of the 1,476 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like UL Research Institutes
Questions about the UL Research Institutes tech stack
What programming languages does UL Research Institutes use?
The languages named in UL Research Institutes job postings are Python (37%), SQL (21%), Fortran (5%), Java (5%), MATLAB (5%), as a share of the 19 postings of the last 12 months.
Does UL Research Institutes use AWS?
Yes. AWS is named in 6 of 19 job postings (32%) and required in 6 of them.
What cloud and platforms does UL Research Institutes use?
The cloud and platforms named in UL Research Institutes job postings are AWS (6), Azure (5), GCP (2) (postings in brackets).
What skills do you need for a AI/ML job at UL Research Institutes?
AI/ML postings at UL Research Institutes most often require Python (3), LLM (2), SQL (2), out of 7 postings in the last 12 months.
Is the UL Research Institutes tech stack changing?
Yes. Digital Twin, GCP, Terraform, Machine Learning first appeared in UL Research Institutes job postings in the last six months.
How modern is the UL Research Institutes tech stack?
UL Research Institutes scores 80 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 UL Research Institutes tech stack?
Alion reads every job posting UL Research Institutes publishes and tags the technologies each one names. The figures on this page count the 19 postings of the last 12 months and were updated on Sep 27, 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, "UL Research Institutes tech stack: 38 technologies from 19 job postings", as of Sep 27, 2026. https://alion.io/company/ul-org/technologies