Enigma

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.

 

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., 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

 

Why Join:

* Real-World AI Impact: Apply ML to solve significant industry challenges.
* Technical Leadership: Shape infrastructure and systems that will scale.
* Expert Team Partnership: Collaborate with experienced professionals from top tech companies and scale-ups.
* Build the AI-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 Technology: Work at the intersection of generative AI and practical applications.

 

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

Machine Learning

Python

Infrastructure

Wireframing/prototyping

Experimentation

Deep Learning

PyTorch

Growth

Cloud

Research

Innovation

Cybersecurity

Support

Team collaboration

Langchain

Workflow

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