Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EU

Summary of the Role:

As a Senior ML Engineer, you'll be the technical leader driving machine learning infrastructure from experimentation to production, ensuring AI-powered solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of large language models (LLMs) and AI agents.

You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with company leadership and product teams to transform cutting-edge AI research into robust, scalable solutions. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is ideal for a hands-on ML engineer who has scaled production ML systems, thinks like a product builder, and wants to drive the productionization of LLMs and ML to solve real-world problems.

Your Contributions:

• Build Production-Grade Evaluation Systems: Design and implement evaluation frameworks that measure performance, track improvements, and ensure consistent value delivery.
• Drive Experimentation-to-Production Pipeline: Own the ML lifecycle from prototype to production, enabling rapid iteration while maintaining reliability.
• Enable Cross-Team ML Integration: Collaborate with product teams to integrate ML into customer-facing features.
• Optimize AI Agent Performance: Improve systems through experimentation, prompt engineering, and architecture enhancements.
• Scale ML Infrastructure: Develop foundational systems, monitoring, and tooling to support rapid growth.
• Partner with Leadership: Work closely with senior leadership while operating with high autonomy.
• Mentor Through Excellence: Provide guidance and mentorship to junior ML engineers.