MLOps Engineer

Soldo Software Limited | Full time MLOps Engineer Roma, Italy | Posted on 26/06/2026 I'm interested Share job via email Share this job with your network Job listing Job details Job Information Date Opened 26/06/2026 Job Type Full time Industry SaaS City Roma Country Italy Job Description Soldo is the proactive spend management solution that frees progressive businesses to accomplish more.Over 25,000 organisations across 31 countries use Soldo to end slow, messy, and inefficient spending, bringing financial agility and control over every expense. Soldo frees finance with a uniquely proactive approach to managing decentralised spending.By combining a powerful spend management platform, a user-friendly app, and versatile payment methods, Soldo automates expense admin to eliminate inefficiency in managing business spending.By proactively managing decentralised spend, organisations empower employees to spend when and where it's needed, keeping productivity high while avoiding month-end surprises.Founded in 2015 by Italian digital innovator Carlo Gualandri, Soldo is headquartered in London, with offices in Dublin, Milan, and Rome.We’re looking for people with big ambitions, cool heads, sharp minds, and warm hearts. Come and join us as we grow together.What's in it for youCompetitive salaryPrivate healthcare coverage for you and your familyLunch VouchersGenuine career development opportunities (we love to see you succeed) - including your own annual €500 career development budgetAccess to training and development - including a mentoring programme, workshops and the opportunity to progress onto our leadership programmeFlexible working options, including working from home or our Milan or Rome offices + 60 days’ work anywhereStatutory Leave entitlements plus extra days off on Christmas Eve, New Year's Eve and your BirthdayYour own personal company Soldo cardEmployee Assistance ProgrammeCAF Annual Fiscal & Financial SupportThe roleAs we continue to scale our AI capabilities, we’re looking for an MLOps Engineer to help us build and operate reliable, production-grade AI systems powering intelligent financial experiences across our platform.This role sits at the intersection of Machine Learning, Product Engineering and Cloud Infrastructure.You’ll work closely with AI Scientists, Software Engineers, and Product Managers teams to operationalise ML and GenAI solutions at scale, ensuring performance, reliability, governance and efficiency across the entire AI lifecycle.This is not a research-oriented Data Scientist role.We’re looking for an engineer with strong experience building scalable ML infrastructure and deploying AI systems in complex production environments.ResponsibilitiesDesign, build and maintain scalable ML and GenAI infrastructureProductionise AI models and services across training, deployment and inference workflowsBuild and optimise CI/CD pipelines for ML systemsImprove reliability, observability and monitoring of AI workloadsEnable reproducible experimentation, model versioning and automated deployment processesPartner with AI Scientists to accelerate the transition from experimentation to productionOptimise infrastructure performance, scalability and operational costsSupport governance, compliance and security best practices for AI systemsContribute to the evolution of our AI platform architecture and engineering standardsDrive operational excellence across the ML lifecycleWe’re looking for someone who hasStrong experience in MLOps, ML Platform Engineering or AI Infrastructure rolesProven experience deploying and operating ML/AI systems in production environmentsStrong Python engineering skillsStrong knowledge and experience with PySpark and DatabricksSolid experience with cloud platforms such as AWS, GCP or AzureExperience with containerisation and orchestration technologies (Docker, Kubernetes)Experience building CI/CD workflows for ML systemsFamiliarity with ML orchestration and experiment management tools such as MLflow,...