NumPy Jobs

36 NumPy jobs currently listed

Browse 36 open positions that require NumPy experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.

By the numbers

  • 27 companies hiring
  • Mostly Senior roles
  • Often paired with Python, pandas, SQL, scikit-learn
  • Top locations: London, Berlin, Munich
  • 94% don't require German
  • 2 new in the last 7 days

Market insights

About 8% of live NumPy ads are listed as fully remote.

Remote policy

8%
33%
31%

Remote 8%Hybrid 33%On-site 31%

2 of 36 live ads state a salary.

Seniority mix

  • Senior 53%
  • Mid 30%
  • Lead 10%
  • Junior 7%

What you'll find here

Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.

Trainline 2 months ago
Hybrid

Machine Learning Engineer

London, United Kingdom - English

Machine Learning Python pandas NumPy scikit-learn +3
Peec 2 months ago
On-site

Engineering Manager (Data Science)

Berlin, Germany - English

Python SQL
Peec 2 months ago
On-site

Data Scientist

Berlin, Germany - English

Python SQL
Nextgenfed 2 months ago
Remote

Senior Software Engineer

English

C++ Python Docker Kubernetes JUnit +1
Olix 3 months ago Open for 101+ days
On-site

Digital Design Verification Engineer

Bristol, United Kingdom - English

SystemVerilog SystemVerilog Assertions UVM cocotb MATLAB +3
Imc 5 months ago Open for 174+ days
On-site

Python Software Engineer

Amsterdam, Netherlands - English

Python FastAPI asyncio APScheduler pandas +10
Scaleai 5 months ago Open for 175+ days

Frontier Agents Engineer

London, United Kingdom - English

Python NumPy pandas AWS GCP
Beyondmath 6 months ago Open for 188+ days
On-site

Software Engineer

London, United Kingdom - English

Python AWS Docker Kubernetes
Trainline 6 months ago Open for 188+ days
Hybrid

Head of Machine Learning Engineering

London, United Kingdom - English

Machine Learning Python
Imc 6 months ago Open for 189+ days
Hybrid

Python Software Engineer - Digital Assets

Zug, Switzerland - English

Python Polars pandas NumPy SciPy +1
Capco 6 months ago Open for 196+ days
Hybrid

Data Science Manager

London, United Kingdom - English

Python spaCy NumPy SciPy Transformers +5
Prior Labs 12 months ago Open for 371+ days
On-site

Research Engineer, Foundation Model

Berlin, Germany - English

Python PyTorch scikit-learn pandas NumPy
Autonomous Teaming
On-site

ML Data Engineer (m/f/d) - Sensor Data & Pipelines

Munich, Germany - English

Python pandas NumPy Detectron2 MMDetection +3
Dci
Remote

Teacher/Lehrer (m/w/d) Data Engineer

Germany (Remote) - German (B2)

Python SQL
Clicks Reposted 19 time(s)
Hybrid

Marketing Automation & Data Specialist (m/w/d) in Dresden

Dresden, Germany - German

Python pandas NumPy scikit-learn BigQuery +8
Autonomous Teaming

ML Data Engineer (m/f/d) - Sensor Data & Pipelines

Munich, Germany - English (Fluent)

Python pandas NumPy Detectron2 MMDetection +5

Frequently Asked Questions

How many NumPy jobs are available right now?
There are currently 36 open positions that list NumPy as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires NumPy?
We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find NumPy jobs that don't use a particular framework or language.
Are salary ranges accurate?
When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.