Job Description: Are you interested in empoweringArm’s engineering teams to create products using the power ofmachine learning and statistics? Are you passionate about workingin a team that thrives on creativity, innovation, and diversity?Arm is using Machine Learning and Data Science techniques toempower our engineers to make data-driven decisions and is buildingautomated workflows that enable our engineers to deliver morecomplex products. Based in the “Machine Learning for Verification”(ML4V) team in Arm’s Productivity Engineering group, this role willenable you to directly impact Arm’s engineering processes and willhelp improve future generations of Arm-based technology used by 70%of the world’s population. As a Senior ML Engineer, you will beworking across Arm engineering workflows ensuring that oursolutions are optimized and delivering maximum value. You will bepart of a highly interdisciplinary team that deliver compute, datascience, research, and engineering. You will be responsible forproductizing data pipelines and models and deploying them into aproduction environment so that they deliver the maximum value toour teams. Because we have such a diverse team, with many areas ofspeciality, there will be opportunities to mentor and coach, aswell as to develop your own knowledge and understanding. Ourtechnical stack leverages open-source python libraries, usingdistributed compute across on-prem and cloud environments. ##Responsibilities:* Building and optimising ML processes acrossthe whole ML lifecycle, from proof-of-concept to production *Writing and deploying scalable and resilient solutions *Collaborating with our diverse teams including Verificationengineers and data scientists * Communicating your work totechnical and non-technical collaborators. ##Required Skills andExperience:* Demonstrable experience using python to deploy andrun machine learning processes in a production environment. *Demonstrable knowledge of statistics and machine learning (eg,Dimensionality Reduction, Hypothesis Testing, Imputation,Clustering methods, Tree Based Algorithms, Neural Networks) *Experience with Data Science and Machine Learning Frameworks (e.gPandas, Scikit-Learn) * Experience with Cloud platforms like AWS,GCP, Azure. * Experience with software development & CICDprocesses: (Git, testing, releasing code) * Comfortable workingwithin a Linux environment ##“Nice To Have” Skills andExperience:* A master or PhD degree in a relevant field, such ascomputer science, physics, statistics, maths etc * Experienceworking with imbalanced datasets. * Experience with distributedcompute using pyspark * Experience with Databases (no-sql, sql)Experience serving models through a service orientated architectureExperience with Serving ML models in a streaming environment. *Experience mentoring andor coaching colleagues.In Return:Armis a global, diverse organization of dedicated, innovative, andhighly capable people. We believe great ideas come from a vibrantand inclusive workplace where everyone can grow, succeed, and sharetheir outstanding contributions! You will join a multi-culturalteam with varied skills and experience. You will have access to ahuge variety of technologies and systems to learn and will besupported every step of the way! #LI-KD1 ##Accommodations atArmAt Arm, we want our people toDo Great Things. If youneed support or an accommodation toBe Your Brilliant Selfduring the recruitment process, please email. To note,by sending us the requested information, you consent to its use byArm to arrange for appropriate accommodations. All accommodationrequests will be treated with confidentiality, and informationconcerning these requests will only be disclosed as necessary toprovide the accommodation. Although this is not an exhaustive list,examples of support include breaks between interviews, havingdocuments read aloud or office accessibility. Please email us aboutanything we can do to accommodate you during the recruitmentprocess. ##Hybrid Working at ArmArm’s approach to hybridworking is designed to create a working environment that supportsboth high performance and personal wellbeing. We believe inbringing people together face to face to enable us to work at pace,whilst recognizing the value of flexibility. Within that framework,we empower groupsteams to determine their own hybrid workingpatterns, depending on the work and the team’s needs. Details ofwhat this means for each role will be shared upon application. Insome cases, the flexibility we can offer is limited by local legal,regulatory, tax, or other considerations, and where this is thecase, we will collaborate with you to find the best solution.Please talk to us to find out more about what this could look likefor you. ##Equal Opportunities at ArmArm is an equalopportunity employer, committed to providing an environment ofmutual respect where equal opportunities are available to allapplicants and colleagues. We are a diverse organization ofdedicated and innovative individuals, and don’t discriminate on thebasis of race, color, religion, sex, sexual orientation, genderidentity, national origin, disability, or status as a protectedveteran.