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

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

Remote

United kingdom

Senior

Full Time

30-01-2026

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Skills

Leadership Adaptability Python Monitoring Research Architecture Machine Learning PyTorch Deep Learning Autonomy Langchain Large Language Models

Job Specifications

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

About the Company

Here at Enigma, we specialize in Generative AI recruitment, specifically focused on Machine Learning and Software Engineering disciplines. With a combined experience of 20+ years, we understand the intricacies of finding the perfect role as well as the right talent for your team. But what sets Enigma apart? Our consultative approach. We don't just match candidates with job openings; we guide candidates, founders, and hiring managers through the recruitment process. Our value-added services go beyond traditional recruitment ... Know more