{"id":2280015,"url":"https://alion.io/job/inchcape-junior-mlops-engineer","title":"Junior MLOps Engineer","company":{"id":448301,"name":"Inchcape","domain":"inchcape.com","url":"https://alion.io/company/inchcape-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":["PH"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-11T14:56:31Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Are you looking to accelerate your career path in a stimulating, fast-growing business? At Inchcape, we’re pursuing an exciting strategy to evolve our global business and lead our industry’s transformation.\nJoin Inchcape Digital, part of Inchcape global network. You’ll explore and develop cutting-edge technology and data solutions that are driving our innovation and unique market position. Thrive as part of a highly collaborative and supportive team of diverse and talented colleagues.\nWe are seeking a talented and driven Junior MLOps Engineer to join Inchcape Digital's Data Analytics Platform team. In this role, you will help build, deploy, monitor, and optimize enterprise-grade machine learning solutions while supporting scalable AI and data initiatives across a global automotive organization.\nWhat you'll do\nDesign, implement, and optimize scalable machine learning pipelines and workflows using Azure Databricks.\nManage end-to-end data orchestration through Azure Data Factory, Azure Function Apps, and Logic Apps.\nMaintain GitHub repositories, code versioning, and CI/CD pipelines, ensuring reliable and efficient deployments.\nDeploy, monitor, troubleshoot, and maintain production ML models, including automated retraining workflows to ensure performance and accuracy.\nLead production deployment of ML solutions while ensuring scalability, reliability, governance compliance, and operational excellence.\nPartner with stakeholders across the business to deliver ML solutions aligned with business objectives and operational needs.\nContribute to broader Data Analytics Platform initiatives and cross-functional projects as business requirements evolve.\nAbout you\n\nBachelor's degree in Computer Science, Information Technology, or a related field.\n2-4 years of hands-on experience in AI/ML engineering and production model deployment.\nStrong experience with PySpark, Databricks, MLflow, Azure Data Factory, Docker, GitHub, and CI/CD pipelines.\nKnowledge of model monitoring, retraining workflows, and production troubleshooting.\nExcellent communication, stakeholder management, and documentation skills.\nAzure and Databricks certifications are a plus.\nWe offer you\n\nLearning & Development: Access leading learning platforms with tailored pathways for every role, including technical and leadership training and certifications.\nCareer Growth: Receive ongoing career support, regular performance reviews, and opportunities for promotion, with access to senior leadership for guidance and mentorship.\nSkills Advancement: Continuously upgrade your expertise through training in the latest technologies and industry advancements.\nFlexible Work: Benefit from hybrid or remote work arrangements, with a remote work bonus to recognise your contribution.\nHealth & Wellbeing: Enjoy Health Maintenance Organization HMO coverage with free dependent inclusion and life insurance for added peace of mind.\nSpecial Leave: Celebrate your birthday with a dedicated day off just for you.\nWork Tools: Get the equipment you need to perform your role effectively.\nOpportunity for everyone\n\nAt Inchcape, inclusion accelerates our success. We are committed to creating a workplace where everyone feels valued, heard, and empowered to thrive. We foster an inclusive culture that reflects the communities we serve, ensuring opportunities for all.\nAbout us\nOur diverse global team of over 16,000 talented colleagues foster an inclusive and collaborative culture, delivering a brilliant experience for our customers and partners. We’re a dynamic and fast-growing business, driving the transformation of our industry and redefining tomorrow. Find out more visit www.inchcape.com\nInchcape’s Digital Delivery Centres drive innovation, empowering global mobility through advanced technology solutions. Our teams deliver impactful digital systems, ensuring long-term business success with world-class operations at scale. Learn more about us here.\nAdditional information request\n\nSelected candidates will be contacted to initiate our hiring journey. 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