Senior Machine Learning Engineer

4 weeks ago

Ely, 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 key member of our team, you will play a critical role in empowering our engineers to create products using the power of machine learning and statistics.

**Key Responsibilities:**

  • Design and develop machine learning processes across the entire ML lifecycle, from proof-of-concept to production.
  • Write and deploy scalable and resilient solutions using open-source python libraries.
  • Collaborate with our diverse teams, including Verification engineers and data scientists, to ensure seamless integration and maximum value.
  • Communicate complex technical concepts to both technical and non-technical stakeholders.

**Requirements:**

  • Demonstrable experience using python to deploy and run machine learning processes in a production environment.
  • Strong knowledge of statistics and machine learning concepts, including Dimensionality Reduction, Hypothesis Testing, Imputation, Clustering methods, Tree Based Algorithms, and Neural Networks.
  • Experience with Data Science and Machine Learning Frameworks, such as Pandas and Scikit-Learn.
  • Experience with Cloud platforms, including AWS, GCP, and Azure.
  • Experience with software development and CI/CD processes, including Git, testing, and releasing code.
  • Comfortable working within a Linux environment.

**Nice to Have:**

  • A master's or PhD degree in a relevant field, such as computer science, physics, statistics, or mathematics.
  • Experience working with imbalanced datasets.
  • Experience with distributed compute using pyspark.
  • Experience with databases, including no-sql and sql.
  • Experience serving models through a service-oriented architecture.
  • Experience mentoring and/or coaching colleagues.

**What We Offer:**

At Arm, we value diversity and inclusion, and we are committed to creating an environment where everyone can grow, succeed, and share their outstanding contributions. We offer a range of benefits, including access to cutting-edge technologies, opportunities for professional development, and a collaborative and dynamic work environment.

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