Senior ML Engineer

🕒 il y a 1 mois

⏰ Temps Plein

🟠 Senior

🤖 Ingénieur Machine Learning

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Primer, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de Primer. Vérifiée il y a 7 heures.

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Primer

51 - 200 employés

💳 Fintech

Fintech • Payments

Primer est une entreprise qui propose une infrastructure de paiement unifiée, permettant aux entreprises de rationaliser et d’optimiser leurs processus de paiement. Grâce à sa technologie avancée, Primer fournit des solutions pour la gestion des paiements, l’augmentation des conversions, l’amélioration des taux de réussite des paiements et la création d’expériences de checkout fluides. La plateforme est conçue pour offrir aux entreprises la flexibilité d’intégrer et de personnaliser facilement leur stack de paiement, de se connecter à de multiples services de paiement et de déployer des outils de prévention de la fraude. Primer ambitionne d’accélérer la croissance internationale des entreprises en simplifiant les opérations de paiement, en réduisant la fraude et en améliorant l’expérience client.

Description

• Own the full lifecycle of ML-powered features, from research and testing through training, deployment, and production monitoring • Productionise smart routing decisions across the payment flow • Build ML infrastructure including versioning, CI/CD, and observability • Partner with product, data, and engineering to turn use cases into measured outcomes • Apply pragmatic, impact-first experimentation and model evaluation • Mentor engineers adopting ML techniques • Speak directly with customers to validate ideas and test solutions against real usage • Help set technical direction and prioritise ML use cases • Establish reliable and repeatable ML patterns and practices at Primer • Report to engineering leadership while the ML function develops

🎯 Exigences

• Senior experience in ML engineering, data science, or applied research, with real production deployments via API, batch, or streaming • Ability to design and run experiments and A/B tests and interpret their results • Strong Python skills • Hands-on experience with scikit-learn, XGBoost, TensorFlow, PyTorch, or Keras • Solid grounding in modern software engineering, infrastructure, and data tooling • Understanding of MLOps challenges across the full ML lifecycle • Familiarity with reinforcement learning, including multi-armed or contextual bandits • Cloud experience; AWS preferred, with GCP or Azure acceptable • Comfortable researching, developing, and productionising independently • Payments or e-commerce exposure is a plus, not a prerequisite

🏖️ Avantages

• Competitive share options • Uncapped holiday, with 25 days minimum to be taken • Co-working space access across major cities • Workations and company retreat • The best equipment for your role • £500 towards your home office setup • Generous learning budget • Private Medical Insurance • Additional perks and benefits depending on location • Fully remote and globally distributed work arrangement

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Python

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RDBMS

Tensorflow

Développé par Lior Neu-ner. J'aimerais beaucoup recevoir vos retours — contactez-moi en DM ou par e-mail support@remoterocketship.com
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