{"id":2616118,"url":"https://alion.io/job/wireit-machine-learning-engineer-2","title":"Machine Learning Engineer","company":{"id":4423597,"name":"Wire IT","domain":"wireit.pt","url":"https://alion.io/company/wireit","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":28000,"max":52000,"currency":"EUR","period":"year","gross":null,"usd_annual":57830},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"AgentOps","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Databricks","optional":true},{"name":"EU AI Act","optional":true},{"name":"Feature Store","optional":true},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"LLMOps","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-15T12:17:57Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T02:42:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Based in Portugal, Wire IT is your specialized IT consulting partner with 18 years of experience driven by an experienced and senior team that helps clients make the right decisions in a fast-moving market.\nWire IT's ambition is to grow while keeping true to its nature: agile, people-centered, and fun. As we like to say: Its not only what we do, its how we manage that truly make the difference..\nIf you're looking for more than just a job - if you're looking for a place where you can truly make a difference - you might be the next person to join WIRE IT.\n\nRole: Machine Learning Engineer (MLOps)\nLocation: Hybrid (2x/week in the office), Vila Nova de Gaia / Porto, Portugal\n\nRequired skills:\nMinimum 3 years of professional experience in Software Engineering or Machine Learning Engineering.\n\nStrong Python skills, including testing, packaging, API development, and code review.\n\nPractical experience deploying and operating Machine Learning models in production environments.\n\nExperience with CI/CD pipelines, model registration, and lifecycle management using MLflow or similar platforms.\n\nExperience building reproducible ML training workflows and managing model deployment, monitoring, retraining, and rollback procedures.\n\nExperience with batch and real-time model serving.\n\nKnowledge of containers and distributed processing using Spark.\n\nExperience implementing model monitoring, data and prediction drift detection, alerting, and Service Level Objectives (SLOs).\n\nWorking knowledge of Microsoft Azure and Infrastructure as Code concepts.\n\nUnderstanding of the end-to-end Machine Learning lifecycle, from experimentation to production deployment.\n\nExperience developing APIs and integrating ML models into business applications and operational systems.\n\nKnowledge of model evaluation metrics, production monitoring, and performance optimization.\n\nAbility to refactor data science code into maintainable, tested production services and reusable libraries.\n\nStrong understanding of MLOps practices, production readiness, incident response, and model lifecycle management.\n\nBachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.\n\nFluent English (mandatory).\n\nNice to have:\nExperience with real-time decisioning in payments, fintech, fraud detection, or credit-related environments.\n\nExperience operating LLM-based applications in production, including LLMOps, AgentOps, model evaluation, tracing, prompt versioning, and AI guardrails.\n\nExperience with Feature Stores and continuous-training pipelines.\n\nKnowledge of event-driven architectures using Kafka and low-latency inference solutions.\n\nExperience with Azure ML, Terraform, and container-based serving platforms.\n\nUnderstanding of model risk management and EU AI Act requirements.\n\nMaster's degree in Computer Science, Machine Learning, or a related field.\n\nAzure, Databricks, or Machine Learning Engineering certifications.\n\nWe offer:\n­ No-term full-time contract;\n\nHealth Insurance;\n\n22 days of paid vacation;\n\n4 extra days annually (Carnival, Christmas Eve, New Year's Eve, Birthday);\n\nMeal Allowance on card (Coverflex);\n\nReferral Bonus;\n\nSpecial discounts and flex options;\n\nTraining annual budget;\n\nA great team-oriented culture;\n\nChance to become a part of a dynamically growing international company;\n\nChallenging projects giving the unique opportunity to grow and learn.\n\nFollowing the EU General Data Protection Regulation No. 2016/679, we inform you that by responding to this announcement, you consent to the use of your data by Wire IT, for as long as necessary. 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