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

- **Company:** Enigma LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Cyber Security, Python (Programming Language), Machine Learning, Workflow Management Systems, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Machine Learning Operations, Virtual Agents
- **Published:** August 19, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pd9zr39i5u

## About the Role

* 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., LangChain, 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 AI agents, LLMs, or generative AI applications
 * Domain knowledge in cybersecurity or related fields
 * Background at ML-first companies
 * Experience with modern MLOps and cloud ML infrastructure
 * Track record of optimizing model performance and costs

## Description

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.


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