---
title: 'Machine Learning Engineer at Yuno'
canonical: 'https://feeny.ai/job/machine-learning-engineer-yuno-europe-qk68kdrz5rgw'
type: 'job'
last_seen: '2026-09-13'
---

# Machine Learning Engineer at Yuno

- **Company:** Yuno
- **Location:** Europe
- **Work type:** remote
- **Posted:** 2026-09-11
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.lever.co/yuno/3577e844-65c6-41c6-ab7c-ebfad78de34f

## Job description

## Who We Are

At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by veterans from payments and technology, including people who previously built Rappi, Yuno connects companies like InDrive, McDonald's, Rappi and Viva Aerobus with 300+ payment methods worldwide via a single API. We use AI and modern technology for intelligent transaction routing and fraud prevention across more than 80 countries.

## About The Role

We are looking for a Machine Learning Engineer (mid level, 5 to 8 years of experience) based in Europe to build and scale the infrastructure that takes machine learning models from notebook to production. You will own the MLOps foundation, automate the model lifecycle, integrate streaming data pipelines and bring agentic capabilities into our ML systems. This is a hands on role for someone who cares as much about reliability and observability as about model performance. You will join the Data, AI and ML team and work closely with data science, platform and product teams.

## Your Contribution Will Be

- MLOps framework: design, build and maintain the MLOps platform (experiment tracking, model registry, versioning and reproducible training pipelines); establish CI/CD practices for ML with automated testing, validation gates and promotion workflows from dev to production; define standards and tooling for feature stores, model artifacts and environment reproducibility across teams.
- ML productionizing: take models from research or prototype stage to robust, scalable production services; build low latency, high availability serving infrastructure (batch, online and real time inference); implement monitoring for model performance, data drift and concept drift, with clear alerting and rollback paths; partner with data science teams to harden models for production constraints (latency, cost, scale).
- Automation of ML models: automate retraining, evaluation and deployment pipelines to reduce manual intervention; build self healing and auto rollback mechanisms triggered by performance or drift thresholds; create tooling that lets ML practitioners ship models without needing deep infra expertise.
- Streaming integration: integrate ML models with streaming data platforms (Kafka, Kinesis, Flink) for real time feature computation and inference; design low latency feature pipelines that bridge batch and streaming data sources; ensure consistency between offline (training) and online (serving) feature computation.
- Agentic integration for ML: design and integrate agentic workflows (LLM based agents, tool calling pipelines) alongside traditional ML models; build the observability, guardrails and evaluation frameworks needed to run agentic systems reliably in production; explore how agents can automate parts of the ML lifecycle itself (monitoring, triage, retraining decisions).

## Minimum Qualifications

- 5 to 8 years of experience in ML engineering, MLOps or backend infrastructure with ML systems in production.
- Strong software engineering fundamentals; comfortable owning services end to end.
- Experience with model serving frameworks (Seldon, KServe, BentoML, TorchServe or similar) and orchestration tools (Airflow, Kubeflow, MLflow or similar).
- Hands on experience with streaming systems (Kafka, Kinesis, Flink or similar).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Experience with observability tooling (metrics, tracing, logging) for ML or distributed systems.
- Strong communication skills and comfort working cross functionally with data science, platform and product teams.
- Fluent English.
- Based in Europe.

## Preferred Qualifications

- Exposure to LLM and agent frameworks and evaluation practices.
- Experience in a regulated or high throughput domain (fintech, payments, healthcare).
- Contributions to open source MLOps or agentic tooling.
- Experience with cloud ML platforms (SageMaker, Vertex AI, Databricks).

## What We Offer at Yuno

- Competitive Compensation
- Remote Work: you can work from everywhere
- Home Office Bonus: a one time allowance to set up your ideal home office
- Work Equipment
- Stock Options
- Health Plan wherever you are
- Flexible Days Off
- Language, Professional, and Personal Growth courses

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, or to exercise your data protection rights, please contact us.

## About Yuno

## Company Overview
- **One-liner**: Yuno is an AI-native payment orchestration platform that connects merchants to over 1,000 payment methods globally through a single API, powered by intelligent agents for routing, fraud prevention, and revenue recovery.
- **Entity Type**: Private (Seed $10M & Series A $25M – total $35M)
- **Headquarters**: New York, United States (with regional HQ in Doha, Qatar)
- **Founded**: 2021
- **Founders**: Juan Pablo Ortega & Julián Núñez

## Core Business
- **Primary industry**: Payment orchestration / Fintech infrastructure.
- **Target customers**: B2B – global merchants and enterprises of all sizes (e.g., McDonald’s, Rappi, Uber, GoFundMe, Viva Aerobus, NetEase).
- **Mission**: Help businesses simplify payment management and unlock new revenue streams by leveraging deep industry knowledge, cutting‑edge technology, and AI.

## Products & Services
- **Yuno Payments Orchestration Platform** (SaaS/API): A single, no‑code integration that connects to 1,000+ payment methods, PSPs, anti‑fraud providers, and acquirers across 190+ countries and 180+ currencies.
- **AI‑Powered Smart Routing**: Real‑time routing agent that selects the optimal processor per transaction based on performance, cost, and geography – delivering up to 7% uplift in approval rates.
- **Payments Concierge**: AI monitoring agent that analyses payment stacks, surfaces issuer‑level rejection reasons, and recommends actions via Slack or WhatsApp.
- **Fraud Prevention Suite**: Tools including tokenization, 3D Secure, custom fraud rules, and one‑click integration with fraud detection providers.
- **Predictive Analytics**: Real‑time dashboard with AI‑driven anomaly detection and trend identification.
- **Payouts & Stablecoins**: Support for payouts and stablecoin transactions through the same unified API.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Annual revenue estimated at $3.5 M (source: LinkedIn); the platform processes **1 B+ transactions yearly**.
- **Notable Investors**: Kaszek & Monashees (seed); Andreessen Horowitz, Tiger Global & DST Global Partners (Series A).
- **Growth Signals**:
  - Headcount of 246 employees (+57.6% YoY), operating across 32 countries.
  - Offices/teams in Colombia, Brazil, Singapore, Mexico, Argentina, and the UK.
  - Named one of the world’s Top FinTech Companies by CNBC, Statista, and CB Insights.
  - Expanding rapidly across APAC, EU, Middle East, and Africa.

## Competitive Advantages
- **Single API for the entire payment lifecycle** – pay‑ins, payouts, fraud, reconciliation, and stablecoins – greatly reducing integration overhead.
- **AI‑native agents** that autonomously route, retry, and recover transactions, continuously optimising approval rates and reducing costs.
- **No‑code provider switching** – merchants can enable or disable payment methods without development cycles, accelerating market entry.
- **Deep global coverage** – 1,000+ providers in 190+ countries with local compliance built in.

## Strategic Focus
- **Global expansion**: Deepening presence in APAC, EU, the Middle East, and Africa while maintaining strength in Latin America.
- **AI‑driven product innovation**: Continued investment in AI agents for payment optimisation, fraud prevention, and actionable intelligence.
- **Enterprise adoption**: Targeting large‑scale merchants with complex, multi‑market payment stacks, evidenced by partnerships with brands like McDonald’s and Uber.

## Why Work Here
- **Culture**: Described as dynamic, innovative, and collaborative – team members are “encouraged to keep learning, explore new tools like AI, and take ownership of projects.”
- **Work model**: **100% remote‑first** – employees work from over 15 nationalities across 32 countries.
- **Perks & growth**: Emphasis on wellness, accountability, and fast learning; heavy investment in AI tools and continuous education.
- **Engineering focus**: Active hiring for Senior Backend, AI, Security, Data Platform, and Site Reliability roles – strong technical challenge and ownership.
- **Transparency**: Open‑source‑style internal communication; plain‑language dashboards for engineers to see real‑time payment data.

## Sources
1. [y.uno – About](https://y.uno/en/about)
2. [y.uno – Careers](https://y.uno/en/careers)
3. [y.uno – Product](https://y.uno/en)
4. [Lever – Yuno Careers](https://jobs.lever.co/yuno)
5. [LinkedIn – Yuno Company Profile](https://co.linkedin.com/company/yunopay)

## Other roles at Yuno

- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-yuno-mexico-4xkdpt8yp39z) — Mexico
- [Partnerships Manager - North America](https://feeny.ai/job/partnerships-manager-north-america-yuno-americas-6jgjvefw5ass) — Americas
- [Staff AI Engineer, Payments Intelligence](https://feeny.ai/job/staff-ai-engineer-payments-intelligence-yuno-europe-sxdjp15hh9a9) — Europe
- [Staff Engineer - Money, Risk & Payment Ancillaries](https://feeny.ai/job/staff-engineer-money-risk-payment-ancillaries-yuno-europe-m1kq2gzzpbqb) — Europe
- [Staff Engineer - Trust & Vault](https://feeny.ai/job/staff-engineer-trust-vault-yuno-europe-8b7fhehc0cm0) — Europe
- [Legal Business Partner, EMEA](https://feeny.ai/job/legal-business-partner-emea-yuno-europe-y4fxqjnyynw0) — Europe
- [Director of Sales & Business Development - Financial Services (APAC)](https://feeny.ai/job/director-of-sales-business-development-financial-services-apac-yuno-apac-60xnhejrj3x3) — APAC
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