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 across thewhole ML lifecycle, from proof-of-concept to production ● Writingand deploying scalable and resilient solutions ● Collaborating withour diverse teams including Verification engineers and datascientists ● Communicating your work to technical and non-technicalcollaborators. Required Skills and Experience: ● Demonstrableexperience using python to deploy and run machine learningprocesses in a production environment. ● Demonstrable knowledge ofstatistics and machine learning (eg, Dimensionality Reduction,Hypothesis Testing, Imputation, Clustering methods, Tree BasedAlgorithms, Neural Networks) ● Experience with Data Science andMachine Learning Frameworks (e.g Pandas, Scikit-Learn) ● Experiencewith Cloud platforms like AWS, GCP, Azure. ● Experience withsoftware development & CICD processes: (Git, testing, releasingcode) ● Comfortable working within a Linux environment “Nice ToHave” Skills and Experience: ● A master or PhD degree in a relevantfield, such as computer science, physics, statistics, maths etc ●Experience working with imbalanced datasets. ● Experience withdistributed compute using pyspark ● Experience with Databases(no-sql, sql) ● Experience serving models through a serviceorientated architecture ● Experience with Serving ML models in astreaming environment. ● Experience mentoring andor coachingcolleagues. In Return: Arm is a global, diverse organization ofdedicated, innovative, and highly capable people. We believe greatideas come from a vibrant and inclusive workplace where everyonecan grow, succeed, and share their outstanding contributions! Youwill join a multi-cultural team with varied skills and experience.You will have access to a huge variety of technologies and systemsto learn and will be supported every step of the way! #LI-KD1Accommodations at Arm At Arm, we want our people to Do GreatThings. If you need support or an accommodation to Be YourBrilliant Self during the recruitment process, please . To note, by sending us the requestedinformation, you consent to its use by Arm to arrange forappropriate accommodations. All accommodation requests will betreated with confidentiality, and information concerning theserequests will only be disclosed as necessary to provide theaccommodation. Although this is not an exhaustive list, examples ofsupport include breaks between interviews, having documents readaloud or office accessibility. Please email us about anything wecan do to accommodate you during the recruitment process. HybridWorking at Arm Arm’s approach to hybrid working is designed tocreate a working environment that supports both high performanceand personal wellbeing. We believe in bringing people together faceto face to enable us to work at pace, whilst recognizing the valueof flexibility. Within that framework, we empower groupsteams todetermine their own hybrid working patterns, depending on the workand the team’s needs. Details of what this means for each role willbe shared upon application. In some cases, the flexibility we canoffer is limited by local legal, regulatory, tax, or otherconsiderations, and where this is the case, we will collaboratewith you to find the best solution. Please talk to us to find outmore about what this could look like for you. Equal Opportunitiesat Arm Arm is an equal opportunity employer, committed to providingan environment of mutual respect where equal opportunities areavailable to all applicants and colleagues. We are a diverseorganization of dedicated and innovative individuals, and don’tdiscriminate on the basis of race, color, religion, sex, sexualorientation, gender identity, national origin, disability, orstatus as a protected veteran.