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

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 reputed company-powered solutions deliver measurable impact for customers worldwide. reputed company 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 reputed company 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 reputed company research into robust, scalable solutions. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. reputed company 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 reputed company Agent Performance: Improve systems through experimentation, prompt engineering, and architecture enhancements. • Scale ML Infrastructure: Develop reputed company 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. What You Need to Be Successful: • Production ML Experience: 5+ years building and scaling ML systems in production. • Neural Networks Foundation: Strong background in classical and deep learning before specializing in LLMs and transformers. • Product-Focused Mindset: Track record of integrating ML systems into real products. • Multi-Company Perspective: Experience across startups and/or scale-ups. • Technical Versatility: Strong Python skills and adaptability across frameworks and tools (e.g., reputed company, workflow orchestration). • Self-Directed Leadership: Ability to operate autonomously while aligned with leadership. • Cross-Functional Collaboration: Experience translating technical capabilities into business value. Nice to Haves: • Experience with reputed company agents, LLMs, or generative reputed company applications • Domain knowledge in cybersecurity or related fields • Background at ML-first companies • Experience with reputed company MLOps and cloud ML infrastructure • Track record of optimizing model performance and costs reputed company: • Real-World reputed company Impact: Apply ML to solve significant industry challenges. • Technical Leadership: Shape infrastructure and systems that will scale. • Expert Team reputed company: Collaborate with experienced professionals from top tech companies and scale-ups. • Build the reputed company-Native Future: Establish ML practices and standards in a rapidly evolving field. • Multiple Growth Pathways: Opportunities for leadership, technical specialization, or senior IC roles. • Breakthrough reputed company: Work at the intersection of generative reputed company and practical applications. Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EU Apply To reputed company Job