Middle Machine Learning Engineer, Qdrant

Salary not provided

Docker

Python

Bash

Linux

NumPy

Pandas

Celery

PyTorch

Git

FastAPI

Mid level

Remote from Europe, UK

Open-source vector search engine for AI

Job no longer available

Open-source vector search engine for AI

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningAPI

Job no longer available

Salary not provided

Docker

Python

Bash

Linux

NumPy

Pandas

Celery

PyTorch

Git

FastAPI

Mid level

Remote from Europe, UK

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningAPI

Company mission

Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.

Job

Company

Role

Who you are

Python Experience: Mininum 3 years of professional python development
Python Ecosystem: FastAPI, Celery, Streamlit
ML Stack: PyTorch, numpy, pandas, sentence-transformers
Tools: Docker, git, linux, bash

What the job involves

We provide support to our customers and early adopters, enabling them to harness the capabilities of Large Language Models (LLMs) and vector search in their business operations
Our aim is to assist them in integrating a modern AI stack into their processes
Build prototype applications which use LLM and vector search under the hood
Fine-tune machine learning models on custom data
Deploy developed solutions into production

Application process

Interested candidates are invited to submit their resume and a portfolio of relevant projects
Qdrant is an equal opportunity employer, and we welcome applications from all qualified candidates

Our take

In many cases, documents may have too few keywords, or queries might be too large for the usual full-text search to provide the desired result. In such cases, the search either finds no intersections or returns a lot of irrelevant results. Qdrant is setting out to solve this problem with a neural network-based semantic search which can be used stand-alone or in conjunction with traditional search.

Qdrant utilizes applied AI and metric learning to provide users with an open-source neural search engine. This engine has proven popular with businesses looking to turn their unstructured data into an asset. The possible applications of this technology greatly vary, from product recommendations in e-commerce to image recognition and analysis of anomalies.

The trust and capital that leading investors have placed in Qdrant will allow it to develop and scale its technology further, with a focus on enterprise solutions and expanding its business team. This will be invaluable to the company as it continues to innovate and increase its consumer base.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (3.1)

Company

Funding (last 2 of 4 rounds)

Mar 2026

$50m

SERIES B

Jan 2024

$29.7m

SERIES A

Total funding: $90.7m

Company benefits

Working in a passionate international team
Flexible working hours
Company events
Choose any hardware
Remote/home office possible
Relocation and visa support (EU Blue Card)
A collaborative and supportive work environment with opportunities for growth and advancement
The chance to make a significant impact on an innovative technology with the potential to reshape industries

Company HQ

Prenzlauer Berg, Berlin, BE

Leadership

Andre Zayarni

(CEO & Co-Founder)

Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.

Andrey Vasnetsov

(CTO & Co-Founder)

Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.

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