Senior Machine Learning Engineer

Pennylane

Senior Machine Learning Engineer at Pennylane developing ML solutions. Involved in data platform projects and collaborating with product teams.

Posted 6/29/2026full-timeRemote • 🇫🇷 FranceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing machine learning solutions and tools throughout the ML lifecycle, with proficiency in Python, PySpark, and AWS SageMaker. Collaborates effectively with cross-functional teams to leverage data platforms and explore new opportunities.

Highest-signal resume keywords

Machine Learning Solutions DesignPython ProgrammingPySpark DevelopmentAWS SageMaker ExpertiseData Platform Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData EngineeringPythonPySparkAWS SageMaker

Soft Skills

CollaborationTeamwork

Tools & Technologies

RedshiftAirflow

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSPySparkPython

About the role

Key responsibilities & impact

Design machine learning solutions and tools across the full ML lifecycle
Contribute to all areas of our data platform
Work closely with other machine learning engineers and data engineers

Requirements

What you’ll need

Be part of the Machine Learning team (10+ people)
Collaborate with Product teams to explore new opportunities
Be comfortable with our tech stack (Python, PySpark, Redshift, Airflow, AWS SageMaker)

Benefits

Comp & perks

Work environment that values trust, proactivity, and autonomy
International team with more than 25 nationalities
Remote-friendly culture
Opportunities to recruit and train new team members