YouGov

Machine Learning Engineer

Nuremberg, Germany

Machine Learning Engineer
πŸ“ Location: Nuremberg, Germany

Join the innovative team at YouGov Shopper Intelligence (Consumer Panel) as a Machine Learning Engineer to revolutionize consumer data quality! Your key role will involve boosting automation by integrating panelist data with diverse data sources using cutting-edge data science and LLM technologies. 🌟

Key Responsibilities:

  • Develop ML and data science components (NLP, OCR, LLM) from research to production in an agile environment.
  • Collaborate with data scientists, SREs, and software engineers to ensure seamless research-to-production workflows.
  • Apply coding best practices and optimize CI/CD pipelines for continuous feature deployment.
  • Set up and enhance ML/data pipelines and monitoring systems (AWS CloudWatch/Kibana).
  • Showcase your accomplishments during agile ceremonies and internal knowledge-sharing sessions.

Tools & Technologies:

  • Programming: Python
  • Cloud Services: AWS (Lambda, SageMaker, API Gateway, Bedrock)
  • Containers & CI/CD: Docker, Terraform, Git, GitLab (CI/CD)
  • Databases & Analytics: MongoDB, ELK stack
  • Collaboration Tools: Jira, Confluence, MS Teams, Miro

Qualifications:

  • Proven experience in ML, ideally in NLP or text recognition.
  • Familiarity with LLMs for research and real-world applications.
  • Strong analytical and creative problem-solving skills.

About Us:
YouGov is a global leader in online research, known for delivering accurate insights into public opinion. By connecting with over 27 million panel members, we strive to represent diverse perspectives. 🌍

Why YouGov?
Join our committed team to amplify the voices of millions, backed by our core values of accuracy, ethics, and innovation. We prioritize diversity and aim to create a supportive workplace where everyone can thrive. πŸ’ΌπŸŒˆ

Equal Opportunity Employer:
We are dedicated to providing equal opportunities regardless of race, color, religion, sex, and various other characteristics. Your qualification and merit will guide all employment decisions.

Data Privacy:
For information on how we handle your personal data, please read our privacy notice.

Ready to Join Us?
Apply now to be part of our mission to make opinions heard! ✨