Senior ML Engineer

🕒 September 24

🌐 United Kingdom, Poland, +4 more countries – Remote

🇬🇧 United Kingdom – Remote 🇵🇱 Poland – Remote 🇵🇹 Portugal – Remote 🇷🇴 Romania – Remote 🇭🇺 Hungary – Remote 🇿🇦 South Africa – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 15%

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Primer

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

Fintech • Payments

Primer is a company that offers a unified payment infrastructure, enabling businesses to streamline and optimize their payment processes. With its advanced technology, Primer provides solutions for managing payments, boosting conversion, enhancing payment success rates, and creating seamless checkout experiences. The platform is designed to give businesses the flexibility to integrate and customize their payment stack easily, connect with multiple payment services, and deploy fraud prevention tools. Primer aims to accelerate global growth for companies by simplifying payment operations, reducing fraud, and enhancing customer experiences.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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