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Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models |Enigma • Central London / West End, London, United Kingdom
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Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models |

Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models |

Enigma • Central London / West End, London, United Kingdom
6 days ago
Job type
  • Full-time
  • Remote
Job description

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


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

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Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK • Central London / West End, London, United Kingdom

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