Software Engineer – Machine Learning

🕒 il y a 4 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🤖 Ingénieur Machine Learning

🗣️🇺🇸🇬🇧 Anglais requis

Numpy

Pandas

Postgres

Python

PyTorch

RDBMS

Tensorflow

D'où vient cette offre

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

Repérée par Remote Rocketship il y a 4 mois

Toujours ouverte sur le site de Prima. Vérifiée il y a 9 heures.

Logo of Prima

Prima

1001 - 5000 employés

Fondée en 2015

💼 Conseil

📦 Logistique

🛡️ Assurance

💰 €115 800 000 Series A en 2018-11

Consulting • Logistics • Insurance

Prima Power est un fournisseur de premier plan de machines haute performance et de solutions automatisées conçues pour améliorer la productivité dans le travail de la tôle. Ils se spécialisent dans les technologies avancées telles que la découpe laser, le poinçonnage et les solutions robotiques, offrant une approche modulaire de la fabrication qui s'intègre parfaitement aux processus de production des clients. Avec une philosophie axée sur le client, Prima Power vise à soutenir les entreprises de divers secteurs en améliorant l'efficacité et les capacités de production.

Description

• Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform. • Analyze and interpret complex data to support the claims management lifecycle. • Contribute directly to the company’s growth and long-term success through actionable insights. • Collaborate with cross-functional teams to transform data into intelligence and intelligence into action.

🎯 Exigences

• Software Engineer First: You’re a strong software engineer at heart: you write clean, maintainable, and production-ready code. • Analytical Prowess: Strong quantitative, logical, and analytical skills are essential. • Strong Python background with hands-on experience in Pandas, Numpy, PyTorch or Tensorflow, Hugging Face and GenAI. • Proficient with RDBMS (Postgres). • Broad ML Knowledge: You have a solid grasp of various machine learning paradigms: from classical models to cutting-edge approaches.

🏖️ Avantages

• Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year. • Grow with us: Get access to learning resources, mentorship and a growth plan tailored to you. • Thrive and perform: Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

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