Senior Machine Learning Engineer

2 weeks ago

Newton, United Kingdom ARM Full time
Job Title: Senior Machine Learning Engineer

Arm is seeking a highly skilled Senior Machine Learning Engineer to join our Machine Learning for Verification (ML4V) team. As a key member of our team, you will be responsible for building and optimizing machine learning processes across the entire ML lifecycle, from proof-of-concept to production.

Key Responsibilities:
  • Design and develop scalable and resilient machine learning solutions
  • Collaborate with cross-functional teams, including verification engineers and data scientists
  • Communicate technical work to both technical and non-technical stakeholders
  • Develop and maintain high-quality machine learning models and pipelines
Requirements:
  • Proven experience with Python and machine learning frameworks (e.g., scikit-learn, TensorFlow)
  • Strong understanding of statistics and machine learning concepts (e.g., dimensionality reduction, hypothesis testing)
  • Experience with cloud platforms (e.g., AWS, GCP, Azure)
  • Proficiency in software development and CI/CD processes (e.g., Git, testing, releasing code)
Preferred Qualifications:
  • Master's or Ph.D. degree in a relevant field (e.g., computer science, physics, statistics)
  • Experience with distributed computing and big data processing
  • Knowledge of database systems (e.g., NoSQL, SQL)
About Arm:

Arm is a global organization with a diverse team of talented individuals. We believe in creating an inclusive and supportive work environment that fosters innovation and growth. As a Senior Machine Learning Engineer at Arm, you will have the opportunity to work on cutting-edge projects and collaborate with a talented team of engineers and data scientists.

We are committed to providing a flexible and hybrid working environment that supports both high performance and personal well-being. We believe in bringing people together face-to-face to enable us to work at pace, while recognizing the value of flexibility.

Arm is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and supportive work environment that fosters innovation and growth.

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