16 beste Stellen als machine learning engineer in berlin mitte, be – aktuell auf Personalsuche

Data Scientist
Reflow —Berlin
- Vollzeit
- Homeoffice
- SQL
- Machine Learning
- Führungserfahrung
Direkt bewerben
Senior Data Engineer - Databricks (m/f/*)
Ultra Tendency —Berlin
- Montag bis Freitag
- Homeoffice
- Azure
- SQL
- AWS
- Umzugskostenzuschuss
Direkt bewerben
Senior Data Scientist – Berlin (On-Site)
mama —Berlin
- Vollzeit
- Azure
- Master
- SQL
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
7 Tage
Senior Data Engineer (d/m/w) – Banking | Data Analytics Personalisierung
Sparkassen Rating und Risikosysteme GmbH —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Java
- Gleitzeit
- Weiterbildungsprogramme
Direkt bewerben
Senior Data Scientist – Python, ML & Signal-Processing
DATATRONiQ —Berlin
- Doktorat
- Informatik
- Englisch
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Digits KG —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
Senior Data Scientist - Europe
Xenon7 —Berlin
- Homeoffice
- Master
- AWS
- Machine Learning
Direkt bewerben
12 Tage
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger
mycareernow GmbH —Falkensee
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
2 Std.
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Berlin, München —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
12 Tage
Data Engineer
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
1 Tag
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Corporate Solutions —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
10 Tage
Sr. Applied Scientist, Community Data & Science
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
22 Std.
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
4 Tage
Data Scientist (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —Berlin
- Per E-Mail
- Persönlich
- Azure
- Datenanalyse
- Englisch
- Homeoffice-Möglichkeit
Direkt bewerben
1 Tag

Related jobs to explore

Based on your search for machine learning engineer

Manufacturing Equipment Engineer, Cell Formation (m/f/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
In addition to developing and sourcing automated manufacturing equipment, the Manufacturing Equipment Engineer works with cross-functional teams to test,…
Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
You will collaborate with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital…

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in berlin mitte, be erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

machine learning engineer jobs near berlin mitte, be

Data Scientist

Reflow -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

SQL
Machine Learning
Führungserfahrung
Python

Vollständige Stellenbeschreibung

We’re building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. We’re a U.S.-based tech company with a high bar for talent, ownership, and execution — and we’re intentional about building a strong, globally distributed team from the start.

We need a Data Scientist to help design and build the algorithms that power insights, pre-label data, and reduce the need for manual configuration by users. This role sits at the intersection of machine learning, product, and data, turning complex data into clear, actionable value for our customers.

What you’ll do

Design and build algorithms that power Reflow’s core intelligence and analytics capabilities.
Develop models to pre-label, classify, and structure data, reducing the need for manual setup by users.
Collaborate with machine learning engineers to productionize models and integrate them into scalable systems.
Partner with product and engineering to translate business problems into data-driven solutions.
Build and iterate on models that generate insights, predictions, and recommendations.
Help define and improve data structures that support modeling, analysis, and automation.
Work on improving the SOP driven experience by reducing manual steps and increasing automation.
Analyze complex datasets to identify patterns, trends, and opportunities for product value.
Continuously evaluate model performance and iterate to improve accuracy, reliability, and impact.
Ensure solutions are efficient, scalable, and aligned with real-world workflows and user needs.

Who you are

Experienced in applied data science, machine learning, or advanced analytics in a product-driven environment.
Strong foundation in statistics, modeling, and experimental design.
Hands-on with Python and common data science libraries.
Comfortable building and evaluating models that move into production.
Strong SQL skills and ability to work with large, complex datasets.
Able to translate ambiguous problems into structured, data-driven solutions.
Focused on building systems that reduce manual work and deliver clear value to users.
Collaborative and comfortable working across engineering, product, and leadership teams.

Bonus points

Experience with pre-labeling, weak supervision, or automated data labeling techniques.
Familiarity with recommendation systems, classification, or predictive modeling.
Experience working with ML engineers to productionize models.
Understanding of workflow automation, process optimization, or operations analytics.
Exposure to real-time data or event-driven systems.

Why join

You’ll help build the intelligence layer of Reflow, creating the algorithms that power automation, reduce manual setup, and unlock meaningful insights for our customers. You’ll work directly with founders and engineers across product, data, and machine learning to shape how intelligence is delivered at scale. This is a high-impact role focused on turning data into real, measurable value.

We’re open to part-time or full-time. Ideal for builders who care about applying machine learning to solve real-world problems and creating systems that make users more effective.

Compensation:

We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.

Direkt bewerben

Erweiterte Suche

machine learning engineer Jobs in berlin mitte, be

Data Scientist

Senior Data Engineer - Databricks (m/f/*)

Senior Data Scientist – Berlin (On-Site)

Senior Data Engineer (d/m/w) – Banking | Data Analytics Personalisierung

Senior Data Scientist – Python, ML & Signal-Processing

Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)

Senior Data Scientist - Europe

Senior Staff Customer Engineer – Automotive AI

Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger

Data Scientist

SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)

Data Engineer

Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)

Sr. Applied Scientist, Community Data & Science

(Senior) Applied Scientist, Search

Data Scientist (m/w/d) // Remote möglich

Related jobs to explore

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in berlin mitte, be erhalten

Related Searches

Weitere Job-Standorte erkunden

Compensation:

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt