Senior Machine Learning Engineer

4 days ago

Cambridge, Cambridgeshire, United Kingdom ARM Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our Machine Learning for Verification (ML4V) team in Arm's Productivity Engineering group. As a Senior Machine Learning Engineer, you will play a key role in empowering our engineering teams to create products using the power of machine learning and statistics.

Key Responsibilities
  • Building and optimizing machine learning processes across the whole machine learning lifecycle, from proof-of-concept to production
  • Writing and deploying scalable and resilient solutions
  • Collaborating with our diverse teams including Verification engineers and data scientists
  • Communicating your work to technical and non-technical collaborators
Requirements
  • Demonstrable experience using Python to deploy and run machine learning processes in a production environment
  • Demonstrable knowledge of statistics and machine learning (e.g., Dimensionality Reduction, Hypothesis Testing, Imputation, Clustering methods, Tree Based Algorithms, Neural Networks)
  • Experience with Data Science and Machine Learning Frameworks (e.g., Pandas, Scikit-Learn)
  • Experience with Cloud platforms like AWS, GCP, Azure
  • Experience with software development & CICD processes: (Git, testing, releasing code)
  • Comfortable working within a Linux environment
Nice to Have
  • A master or PhD degree in a relevant field, such as computer science, physics, statistics, maths etc
  • Experience working with imbalanced datasets
  • Experience with distributed compute using PySpark
  • Experience with Databases (no-sql, sql)
  • Experience serving models through a service orientated architecture
  • Experience with Serving ML models in a streaming environment
  • Experience mentoring and/or coaching colleagues
About Arm

Arm is a global, diverse organization of dedicated, innovative, and highly capable people. We believe great ideas come from a vibrant and inclusive workplace where everyone can grow, succeed, and share their outstanding contributions

We are committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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