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3.308

Model jobs in Germany

Senior Machine Learning Engineer - Databricks (m/f/*)

Ultra Tendency

Magdeburg
Hybrid
EUR 40,000 - 60,000
25 days ago
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Sr Data Modeler with (Healthcare domain experience) Remote

ESR Healthcare

Germany
Remote
EUR 85,000 - 120,000
26 days ago

AI Red Team Engineer - Russian

LILT (Production)

Berlin
Remote
EUR 60,000 - 80,000
26 days ago

Senior Partnerships Manager

Black Forest Labs Inc.

Freiburg im Breisgau
On-site
EUR 70,000 - 90,000
28 days ago

Senior Research HPC Engineer

DeepL

München
Hybrid
EUR 65,000 - 90,000
28 days ago
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Store Designer (f/m/x)

Douglas

Düsseldorf
Hybrid
EUR 45,000 - 60,000
16 days ago

Process Manager Outgoing Goods B2C (f/m/d)

Douglas

Düsseldorf
Hybrid
EUR 45,000 - 55,000
16 days ago

Manager Pricing Solutions (f/m/x)

Douglas

Düsseldorf
Hybrid
EUR 60,000 - 80,000
16 days ago
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Senior Category Manager - Gifting Omnichannel (f/m/x)

Douglas

Düsseldorf
Hybrid
EUR 70,000 - 90,000
16 days ago

Omnichannel Manager (f/m/x)

Douglas

Düsseldorf
Hybrid
EUR 60,000 - 80,000
16 days ago

Senior Functional Consultant (f/m/x)

Douglas

Düsseldorf
Hybrid
EUR 50,000 - 70,000
16 days ago

Senior Consultant Success Factors (f/m/x)

Douglas

Düsseldorf
Hybrid
EUR 60,000 - 80,000
16 days ago

Manager Data Management & Condition Database (f/m/x)

Douglas

Düsseldorf
Hybrid
EUR 60,000 - 80,000
16 days ago

Senior Group Category Manager (f/m/x)

Douglas

Düsseldorf
Hybrid
EUR 60,000 - 80,000
16 days ago

Quantitative Risk Analyst (f/m/d)

E.ON

Germany
Hybrid
EUR 60,000 - 80,000
17 days ago

Fullstack Software Engineer

Different Technologies Pty Ltd.

Germany
Remote
EUR 60,000 - 80,000
17 days ago

AI/Polyglot Engineer

Phiture

Germany
Remote
EUR 65,000 - 85,000
17 days ago

Customer Support Manager (m/f/d)

JustOn GmbH

Jena
Hybrid
EUR 40,000 - 55,000
18 days ago

KI-Softwareentwickler / LLM- & AGENT-Spezialist (m/w/d)

Immobilien Zeitung

Wiesbaden
Remote
EUR 60,000 - 90,000
18 days ago

Lecturer Project From Model to Production (m/f/d)

Karlstad University

Bad Honnef
On-site
EUR 40,000 - 60,000
18 days ago

Project Manager (f,m,d)

Stryker Corporation

Frankfurt (Oder)
Hybrid
Confidential
19 days ago

Trainee Systems Engineer – Verfahrensentwicklung (m/w/d)

SPECTRUM AG

Schweinfurt
On-site
EUR 45,000 - 60,000
19 days ago

Job offer

Forschungszentrum Jülich

Germany
On-site
EUR 40,000 - 50,000
19 days ago

Expert Enterprise Architect (gn) full-time / part-time

DKV Mobility Group SE

Ratingen
Hybrid
EUR 70,000 - 90,000
19 days ago

Economic Research Associate Analyst

Mercor

Germany
Remote
EUR 40,000 - 60,000
19 days ago

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Senior Machine Learning Engineer - Databricks (m/f/*)
Ultra Tendency
Magdeburg
Hybrid
EUR 40.000 - 60.000
Full time
25 days ago

Job summary

An international Data Engineering consultancy is looking for a Senior ML Engineer to design and implement scalable machine learning solutions on the Databricks Lakehouse Platform. The ideal candidate will have 3–5 years of experience, hands-on knowledge of Databricks and ML workflows, plus strong problem-solving skills. This position offers flexible work options, career acceleration, and opportunities to tackle unique projects within a supportive community.

Benefits

Flexible work options
Paid certifications
Educational resources

Qualifications

  • 3–5 years of experience in solution engineering or similar hands-on technical roles.
  • Professional German & English communication skills (C1-level, written and spoken).
  • Hands-on experience with Databricks on Azure, AWS, or GCP.

Responsibilities

  • Design, develop, and maintain scalable machine learning pipelines on the Databricks Lakehouse Platform.
  • Perform exploratory data analysis (EDA), data cleaning, and model evaluation.
  • Collaborate with data engineers to translate real-world problems into ML solutions.

Skills

Databricks
Python
ML Engineering
Spark
Machine Learning

Tools

MLflow
Delta Lake
Git
Airflow
Job description

Our Engineering community is growing, and we’re now looking for a Senior ML Engineer - Databricks (m/f/*), to join our team in Germany, supporting our global growth.

As a Senior Machine Learning Engineer (m/f/*), you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakehouse Platform. Your focus will lie in building robust ML pipelines, enabling GenAI capabilities, and delivering production‑grade solutions that support data‑driven innovation at scale.

WHAT WE OFFER
  • Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Germany)
  • A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
  • Contribute your ideas to our unique projects and make an impact by turning them into reality
  • Balance your work and personal life through our workflow organization and decide yourself if you workat home, in the office, or on a hybrid setup
  • Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies
  • Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
  • Local, virtual, and global team events, in which UT colleagues become acquainted with one another
WHAT YOU'LL DO
  • Design, develop, and maintain scalable machine learning pipelines on the Databricks Lakehouse Platform using Spark, Delta Lake, and MLflow.
  • Perform exploratory data analysis (EDA) , data cleaning, feature engineering, and model evaluation to support data-driven use cases.
  • Collaborate with data engineers and business stakeholders to translate real‑world problems into ML solutions .
  • Deploy models using MLflow, manage model versioning, and set up monitoring and retraining strategies.
  • Optimize the performance and cost‑efficiency of ML workloads on Databricks clusters.
  • Apply best practices in MLOps , ensuring reproducibility, governance, and scalability of ML solutions.
  • Guide and mentor team members on Databricks, ML engineering best practices
WHAT YOU'LL BRING
  • 3–5 years of experience in solution engineering or similar hands‑on technical roles.
  • Hands‑on experience withDatabricks (on Azure, AWS, or GCP), especially Spark (PySpark or Scala), Delta Lake, and MLflow.
  • Deep understanding of the machine learning lifecycle, including data prep, modeling, evaluation, and deployment.
  • Proficiency in Python, with solid foundations in ML libraries (e.g., scikit‑learn, pandas).
  • Experience building production‑ready ML pipelines and working with large‑scale datasets.
  • Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and version control (Git/GitHub).
  • Strong problem‑solving and communication skills, with the ability to explain complex models and logic to stakeholders.
  • Professional German & English communication skills (C1‑level, written and spoken).
NICE TO HAVE
  • Experience with MLOps workflows: model monitoring, automated retraining, A/B testing.
  • Exposure to cloud‑native architectures, CI/CD for ML, and infrastructure‑as‑code (e.g., Terraform).
  • Knowledge of Databricks Unity Catalog for model governance and security.
  • Experience working in regulated or enterprise data environments.

Did we pique your interest, or do you have any questions?

Ultra Tendency is an international premier Data Engineering consultancy forBig Data, Cloud, Streaming,IIoT andMicroservices. We design, build, and operate large‑scale data‑driven applications for major enterprises such as the European Central Bank, HUK‑Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.

We do more than just leverage tech, we build it. At Ultra Tendency we contribute source code to +20 open‑source projects includingAnsible, Terraform,NiFi, andKafka. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot.

We love the challenge: together, we tackle diverse and unique projects you will find nowhere else. In our knowledge community, you will be a part of a supportive network, not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work‑life balance.

We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.

Interested in building your career at Ultra Tendency? Get future opportunities sent straight to your email.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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